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obama-coverage-analysis.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"We're looking at a data set of news coverage of President Obama during most of his two terms in office. Our goal is to perform a sentiment analysis grouping the results by network and by show to see how coverage varies.\n",
"\n",
"Our raw data set consists of 50581 transcripts from five TV news organizations (ABC, CBS, NBC, Fox, CNN) spanning 2009-2016, downloaded from Lexis Nexis."
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"(This is a work in progress)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Setup "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:40.126150",
"start_time": "2017-04-03T13:17:40.117486-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"import sys\n",
"# sys.base_prefix is the directory where the custom scripts used by this notebook are stored\n",
"sys.path.append(sys.base_prefix)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:41.847098",
"start_time": "2017-04-03T13:17:40.548907-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"import ipywidgets as widgets\n",
"import itertools as it\n",
"import more_itertools as mt\n",
"import matplotlib.colors as mplcol\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib.mlab as mlab\n",
"import matplotlib.cbook as cbook\n",
"import mpld3\n",
"import numpy as np\n",
"import pandas as pd\n",
"import random\n",
"import re\n",
"import scipy.spatial as spatial\n",
"import scipy.stats as spst\n",
"import seaborn as sns\n",
"import traitlets\n",
"from glob import glob\n",
"from IPython.display import HTML, display"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:41.856962",
"start_time": "2017-04-03T13:17:41.849219-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"This creates a list of the raw coverage files, each containing up to 500 transcripts."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:41.864289",
"start_time": "2017-04-03T13:17:41.859532-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"all_coverage_files = sorted(glob('../coverage/20??/*.TXT'))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Transcript parsing "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:42.695274",
"start_time": "2017-04-03T13:17:42.676266-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"from transcript_parser import iterate_transcripts"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:42.914710",
"start_time": "2017-04-03T13:17:42.903919-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"sample_transcript = mt.first(iterate_transcripts(all_coverage_files))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Individual transcripts look like the sample shown in the next cell. A transcript begins and ends with metadata giving the news organization, date, show, title, participants, and so on. Between the initial and final metadata is the transcript proper, which contains mostly spoken dialogue, along with a few \"transcript notes\" which indicate contextual information like graphics or off-camera speech."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:43.367648",
"start_time": "2017-04-03T13:17:43.352321-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 1 of 2337 DOCUMENTS\n",
"\n",
" ABC News Transcript\n",
"\n",
" January 1, 2009 Thursday\n",
"\n",
" SHOW: GOOD MORNING AMERICA 7:12 AM EST\n",
"\n",
"POLITICS IN 2009;\n",
"WILL OBAMA SHINE?\n",
"\n",
"ANCHORS: DIANE SAWYER, ROBIN ROBERTS\n",
"\n",
"REPORTERS: ROBIN ROBERTS (NEW YORK, NY USA), MATTHEW DOWD (NEW YORK, NY USA),\n",
"COKIE ROBERTS (NEW YORK, NY USA)\n",
"\n",
"LENGTH: 1038 words\n",
"\n",
"CONTENT: OBAMA, POLITICS\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) All right, Chris. And now, our first political roundtable of the\n",
"New Year. And we're looking ahead at 2009, set to be an historic year, of\n",
"course, in politics. Barack Obama taking office in the midst of the worst\n",
"economic crisis in a generation.\n",
"\n",
"GRAPHICS: POLITICS IN 2009\n",
"\n",
"GRAPHICS: WILL OBAMA SHINE?\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Everyone wants to know what's coming next? So, to break it all\n",
"down, we're joined by our political dream team, they were a dream team in '08\n",
"and they are here in '09. That's Cokie Roberts, she's out in California, and our\n",
"political consultant Matthew Dowd. Good to have you both. Happy New Year. Happy\n",
"New Year.\n",
"\n",
"MATTHEW DOWD (ABC NEWS)\n",
"\n",
"(Off-camera) Happy New Year.\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Same to you, Robin.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Everyone, Cokie, is looking, of course, toward what's gonna happen\n",
"in a few weeks, the inauguration, and those first 100 days in office. What do\n",
"you think, what is the single most important thing that - Barack Obama does\n",
"first?\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Well, he's, in some ways, he has a fabulous opportunity, because\n",
"the country is scared. The Congress is ready to spend money. And he can really\n",
"do a great big series of economic measures, including he could do some important\n",
"things on health care.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Voiceover) Matt?\n",
"\n",
"MATTHEW DOWD (ABC NEWS)\n",
"\n",
"(Voiceover) I think overall, the biggest thing he has to do is provide calm and\n",
"confidence as he enters office so people get a sense that the country's on the\n",
"right track again because that's where I think it's way off.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Historically, presidents have really, some have gotten off to a\n",
"slow start and have had some stumbles right out of the blocks, so to speak. How\n",
"does he avoid that?\n",
"\n",
"MATTHEW DOWD (ABC NEWS)\n",
"\n",
"(Off-camera) I think the biggest test for Barack Obama is the unforeseen things\n",
"that happen along the way, stuff that comes up, communication that goes awry,\n",
"things that happen in the country.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Cokie, what do you think...\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"Yeah. He saw it toward the end of the old year with all of the revelations about\n",
"the Illinois governor, Blagojevich, and, you know, that was something that threw\n",
"him just a bit off stride, because he, you know, he didn't expect that. And he\n",
"is so measured and calm. And he is so, he has everything sort of laid out that\n",
"he doesn't seem to like those things that throw him off a little bit.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) But he made a lot of promises, Cokie and Matt, out on the campaign\n",
"trail. He said that he promised to get several tax breaks for families making\n",
"less than $250,000 and raise taxes on those making more. And, Cokie, how likely\n",
"is that to happen?\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Not, no time soon, I would say. He's not gonna raise taxes in the\n",
"middle of a recession on anybody.\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Voiceover) We need everybody out there spending money. The fact is, is that\n",
"even tax breaks, even though the Congress is ready to spend money, I don't think\n",
"they're ready to attack the tax code.\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) But if you give people other things, like some help with their\n",
"health care, it has the same effect.\n",
"\n",
"MATTHEW DOWD (ABC NEWS)\n",
"\n",
"(Off-camera) I think he's gonna put himself in a real difficult spot if he\n",
"doesn't raise taxes on people making over $250,000 a year. That was a huge part\n",
"of the promise that he made, but I think it gets him in a really difficult spot\n",
"because it's a major promise that he'll break right away.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) And another major promise he made, ending the war in Iraq and all\n",
"of the money that is being spent there.\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"Well, again, the Iraqis have really helped him out there. They have come up with\n",
"their own timetable and he can say, look, this is a sovereign nation and we have\n",
"to do it the way they want us to do it. It's gonna be hard to stop spending\n",
"money there, however, but we could work out something, he could work out\n",
"something where we get some back.\n",
"\n",
"MATTHEW DOWD (ABC NEWS)\n",
"\n",
"(Off-camera) Well, interesting, he's got the Bush people that put - put in the\n",
"war at the end of the administration. He's got to get us out in some lengthy\n",
"timetable that probably has to be 18 months or less.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) All right. A final question to you both because this is the first\n",
"political roundtable of '09, and get out your crystal ball here. Cokie, let's\n",
"start with you first. And everyone anxiously awaiting President-elect Barack\n",
"Obama and what is going to be an historic moment, and you're always good about\n",
"looking at the, having a historical perspective when it comes to politics.\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Well, I think that he is going to be very inspiring at his\n",
"inauguration. You know, one thing we know he knows how to do incredibly\n",
"beautifully is give a speech.\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Voiceover) But, and I do think that the time is closer to Roosevelt than it is\n",
"to, say, Kennedy. I think that, you know, this is, that that's the model we\n",
"should be looking to for him. I also think he needs to do a lot of reaching out\n",
"to the Republicans and reinstituting what historically was true in the White\n",
"House, which is joint leadership meetings in both parties, doing some things to\n",
"make everybody feel like they're included in this new change we could believe\n",
"in.\n",
"\n",
"MATTHEW DOWD (ABC NEWS)\n",
"\n",
"(Off-camera) I think my prediction is the first big battle he has with Congress\n",
"will be with Democrats, not with Republicans. The first real fight that he has,\n",
"the first thing where he has to lay his political capital on the line will be\n",
"with the Democratic Party who now has the Congress by a huge margin. That's what\n",
"I think will happen.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) That's what you think. We'll see what happens. Matthew Dowd, Cokie\n",
"Roberts, again, Happy New Year.\n",
"\n",
"MATTHEW DOWD (ABC NEWS)\n",
"\n",
"(Off-camera) Happy New Year.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Thanks for spending a portion with us.\n",
"\n",
"COKIE ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Thank you, Robin.\n",
"\n",
"ROBIN ROBERTS (ABC NEWS)\n",
"\n",
"(Off-camera) Appreciate that. Let's get over now with Diane.\n",
"\n",
"LOAD-DATE: January 2, 2009\n",
"\n",
"LANGUAGE: ENGLISH\n",
"\n",
"PUBLICATION-TYPE: Transcript\n",
"\n",
" Copyright 2009 American Broadcasting Companies, Inc.\n",
" All Rights Reserved\n",
"\n"
]
}
],
"source": [
"print(sample_transcript.text)"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Using a separate Python script (`transcript_parser.py`), I separated the files into individual transcripts and parsed the transcripts into metadata, speech segments, and transcript notes.\n",
"\n",
"This parsing required some complicated regular expressions and is still imperfect. If I had more time, I'd like to investigate whether something like a recurrent neural network could do a better job, but I think my existing parsing code works with high accuracy (probably high-90s percent by reasonable measurements), so there is not that much room for improvement."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:45.109002",
"start_time": "2017-04-03T13:17:45.101732-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"{'ANCHORS': 'DIANE SAWYER, ROBIN ROBERTS',\n",
" 'CONTENT': 'OBAMA, POLITICS',\n",
" 'LANGUAGE': 'ENGLISH',\n",
" 'LENGTH': '1038 words',\n",
" 'LOAD-DATE': 'January 2, 2009',\n",
" 'REPORTERS': 'ROBIN ROBERTS (NEW YORK, NY USA), MATTHEW DOWD (NEW YORK, NY USA),\\nCOKIE ROBERTS (NEW YORK, NY USA)',\n",
" 'copyright_holders': ('A',),\n",
" 'copyright_year': '2009',\n",
" 'date': datetime.date(2009, 1, 1),\n",
" 'filename': '../coverage/2009/ABC_News_Transcripts_Obama_2009_1-500.TXT',\n",
" 'number': 1,\n",
" 'organization': 'ABC News',\n",
" 'show': 'GOOD MORNING AMERICA',\n",
" 'start_line': 2,\n",
" 'start_time': datetime.time(7, 12),\n",
" 'title': 'POLITICS IN 2009;WILL OBAMA SHINE?'}"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sample_transcript.metadata"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"The speech segments and transcript notes are stored together in a list, each marked with their type. Here is a typical speech segment (including an example of a parsing mistake, where \"(Off-camera)\" is included as part of the speech):"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:46.105066",
"start_time": "2017-04-03T13:17:46.093092-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"('speech',\n",
" 'ROBIN ROBERTS ',\n",
" \"(Off-camera) All right, Chris. And now, our first political roundtable of the\\nNew Year. And we're looking ahead at 2009, set to be an historic year, of\\ncourse, in politics. Barack Obama taking office in the midst of the worst\\neconomic crisis in a generation.\\n\",\n",
" 24)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sample_transcript.elements[0]"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"and an example of a transcript note:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:48.144349",
"start_time": "2017-04-03T13:17:48.132806-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"('graphics', 'POLITICS IN 2009\\n', 31)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sample_transcript.elements[1]"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Another script (`isolate_obama.py`) builds on this to pull out all speech segments which mention Obama or are adjacent to those mentioning Obama, and assemble them into runs of consecutive segments. We use this as a rough proxy for extracting the parts of each transcript that are actually about the president, which are the ones we really want to analyze."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:48.978777",
"start_time": "2017-04-03T13:17:48.967224-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"sample_df = pd.DataFrame(\n",
" [e[1:3] for e in sample_transcript.elements if e[0] == 'speech'],\n",
" columns=['Speaker', 'Text']\n",
")\n",
"sample_df['Contains \"Obama\"'] = ['Obama' in t for t in sample_df['Text']]\n",
"sample_df['Adjacent to \"Obama\"'] = np.convolve([True, False, True], sample_df['Contains \"Obama\"'], mode='same')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:49.222938",
"start_time": "2017-04-03T13:17:49.210881-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"def highlight_row_if_obama(row):\n",
" if row['Contains \"Obama\"']:\n",
" style = 'background-color: #ffffd0'\n",
" elif row['Adjacent to \"Obama\"']:\n",
" style = 'background-color: #f0f0ff'\n",
" else:\n",
" style = ''\n",
" return [style for _ in row]\n",
"def highlight_obama(v):\n",
" if isinstance(v, str) and 'Obama' in v:\n",
" return v.replace('Obama', '<span style=\"font-weight: bold\">Obama</span>')\n",
" elif isinstance(v, np.bool_) and v:\n",
" return '<span style=\"font-weight: bold\">True</span>'\n",
" else:\n",
" return v"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"The sample transcript contains four speech segments that are marked as being about Obama, although we can see that's not particularly accurate since this whole transcript is about the president. This suggests that a useful future enhancement would be applying NLP technology to better determine which speech segments actually concern Obama."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:50.444563",
"start_time": "2017-04-03T13:17:50.330313-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
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" \n",
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" #T_77017a48_1891_11e7_8836_000129a7b193row9_col3 {\n",
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" \n",
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" \n",
" background-color: #f0f0ff;\n",
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" \n",
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" \n",
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" \n",
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" }\n",
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" \n",
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" }\n",
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" \n",
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" }\n",
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" \n",
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" \n",
" }\n",
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" \n",
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" \n",
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" \n",
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" \n",
" }\n",
" \n",
" #T_77017a48_1891_11e7_8836_000129a7b193row21_col2 {\n",
" \n",
" background-color: #f0f0ff;\n",
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" }\n",
" \n",
" #T_77017a48_1891_11e7_8836_000129a7b193row21_col3 {\n",
" \n",
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" \n",
" }\n",
" \n",
" </style>\n",
"\n",
" <table id=\"T_77017a48_1891_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" Speaker\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" Text\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Contains \"Obama\"\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col3\" colspan=1>\n",
" Adjacent to \"Obama\"\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" (Off-camera) All right, Chris. And now, our first political roundtable of the\n",
"New Year. And we're looking ahead at 2009, set to be an historic year, of\n",
"course, in politics. Barack <span style=\"font-weight: bold\">Obama</span> taking office in the midst of the worst\n",
"economic crisis in a generation.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row0_col3\"\n",
" class=\"data row0 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" (Off-camera) Everyone wants to know what's coming next? So, to break it all\n",
"down, we're joined by our political dream team, they were a dream team in '08\n",
"and they are here in '09. That's Cokie Roberts, she's out in California, and our\n",
"political consultant Matthew Dowd. Good to have you both. Happy New Year. Happy\n",
"New Year.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row1_col3\"\n",
" class=\"data row1 col3\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" MATTHEW DOWD \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" (Off-camera) Happy New Year.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row2_col3\"\n",
" class=\"data row2 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" (Off-camera) Same to you, Robin.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row3_col3\"\n",
" class=\"data row3 col3\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" 4\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" (Off-camera) Everyone, Cokie, is looking, of course, toward what's gonna happen\n",
"in a few weeks, the inauguration, and those first 100 days in office. What do\n",
"you think, what is the single most important thing that - Barack <span style=\"font-weight: bold\">Obama</span> does\n",
"first?\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row4_col3\"\n",
" class=\"data row4 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" 5\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row5_col0\"\n",
" class=\"data row5 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
" (Off-camera) Well, he's, in some ways, he has a fabulous opportunity, because\n",
"the country is scared. The Congress is ready to spend money. And he can really\n",
"do a great big series of economic measures, including he could do some important\n",
"things on health care.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row5_col3\"\n",
" class=\"data row5 col3\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" 6\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" (Voiceover) Matt?\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row6_col3\"\n",
" class=\"data row6 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" 7\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" MATTHEW DOWD \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" (Voiceover) I think overall, the biggest thing he has to do is provide calm and\n",
"confidence as he enters office so people get a sense that the country's on the\n",
"right track again because that's where I think it's way off.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row7_col3\"\n",
" class=\"data row7 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row8\" rowspan=1>\n",
" 8\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row8_col0\"\n",
" class=\"data row8 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row8_col1\"\n",
" class=\"data row8 col1\" >\n",
" (Off-camera) Historically, presidents have really, some have gotten off to a\n",
"slow start and have had some stumbles right out of the blocks, so to speak. How\n",
"does he avoid that?\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row8_col2\"\n",
" class=\"data row8 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row8_col3\"\n",
" class=\"data row8 col3\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row9\" rowspan=1>\n",
" 9\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row9_col0\"\n",
" class=\"data row9 col0\" >\n",
" MATTHEW DOWD \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row9_col1\"\n",
" class=\"data row9 col1\" >\n",
" (Off-camera) I think the biggest test for Barack <span style=\"font-weight: bold\">Obama</span> is the unforeseen things\n",
"that happen along the way, stuff that comes up, communication that goes awry,\n",
"things that happen in the country.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row9_col2\"\n",
" class=\"data row9 col2\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row9_col3\"\n",
" class=\"data row9 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row10\" rowspan=1>\n",
" 10\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row10_col0\"\n",
" class=\"data row10 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row10_col1\"\n",
" class=\"data row10 col1\" >\n",
" (Off-camera) Cokie, what do you think...\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row10_col2\"\n",
" class=\"data row10 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row10_col3\"\n",
" class=\"data row10 col3\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row11\" rowspan=1>\n",
" 11\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row11_col0\"\n",
" class=\"data row11 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row11_col1\"\n",
" class=\"data row11 col1\" >\n",
" Yeah. He saw it toward the end of the old year with all of the revelations about\n",
"the Illinois governor, Blagojevich, and, you know, that was something that threw\n",
"him just a bit off stride, because he, you know, he didn't expect that. And he\n",
"is so measured and calm. And he is so, he has everything sort of laid out that\n",
"he doesn't seem to like those things that throw him off a little bit.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row11_col2\"\n",
" class=\"data row11 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row11_col3\"\n",
" class=\"data row11 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row12\" rowspan=1>\n",
" 12\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row12_col0\"\n",
" class=\"data row12 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row12_col1\"\n",
" class=\"data row12 col1\" >\n",
" (Off-camera) But he made a lot of promises, Cokie and Matt, out on the campaign\n",
"trail. He said that he promised to get several tax breaks for families making\n",
"less than $250,000 and raise taxes on those making more. And, Cokie, how likely\n",
"is that to happen?\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row12_col2\"\n",
" class=\"data row12 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row12_col3\"\n",
" class=\"data row12 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row13\" rowspan=1>\n",
" 13\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row13_col0\"\n",
" class=\"data row13 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row13_col1\"\n",
" class=\"data row13 col1\" >\n",
" (Off-camera) Not, no time soon, I would say. He's not gonna raise taxes in the\n",
"middle of a recession on anybody.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row13_col2\"\n",
" class=\"data row13 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row13_col3\"\n",
" class=\"data row13 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row14\" rowspan=1>\n",
" 14\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row14_col0\"\n",
" class=\"data row14 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row14_col1\"\n",
" class=\"data row14 col1\" >\n",
" (Voiceover) We need everybody out there spending money. The fact is, is that\n",
"even tax breaks, even though the Congress is ready to spend money, I don't think\n",
"they're ready to attack the tax code.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row14_col2\"\n",
" class=\"data row14 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row14_col3\"\n",
" class=\"data row14 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row15\" rowspan=1>\n",
" 15\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row15_col0\"\n",
" class=\"data row15 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row15_col1\"\n",
" class=\"data row15 col1\" >\n",
" (Off-camera) But if you give people other things, like some help with their\n",
"health care, it has the same effect.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row15_col2\"\n",
" class=\"data row15 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row15_col3\"\n",
" class=\"data row15 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row16\" rowspan=1>\n",
" 16\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row16_col0\"\n",
" class=\"data row16 col0\" >\n",
" MATTHEW DOWD \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row16_col1\"\n",
" class=\"data row16 col1\" >\n",
" (Off-camera) I think he's gonna put himself in a real difficult spot if he\n",
"doesn't raise taxes on people making over $250,000 a year. That was a huge part\n",
"of the promise that he made, but I think it gets him in a really difficult spot\n",
"because it's a major promise that he'll break right away.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row16_col2\"\n",
" class=\"data row16 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row16_col3\"\n",
" class=\"data row16 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row17\" rowspan=1>\n",
" 17\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row17_col0\"\n",
" class=\"data row17 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row17_col1\"\n",
" class=\"data row17 col1\" >\n",
" (Off-camera) And another major promise he made, ending the war in Iraq and all\n",
"of the money that is being spent there.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row17_col2\"\n",
" class=\"data row17 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row17_col3\"\n",
" class=\"data row17 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row18\" rowspan=1>\n",
" 18\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row18_col0\"\n",
" class=\"data row18 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row18_col1\"\n",
" class=\"data row18 col1\" >\n",
" Well, again, the Iraqis have really helped him out there. They have come up with\n",
"their own timetable and he can say, look, this is a sovereign nation and we have\n",
"to do it the way they want us to do it. It's gonna be hard to stop spending\n",
"money there, however, but we could work out something, he could work out\n",
"something where we get some back.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row18_col2\"\n",
" class=\"data row18 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row18_col3\"\n",
" class=\"data row18 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row19\" rowspan=1>\n",
" 19\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row19_col0\"\n",
" class=\"data row19 col0\" >\n",
" MATTHEW DOWD \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row19_col1\"\n",
" class=\"data row19 col1\" >\n",
" (Off-camera) Well, interesting, he's got the Bush people that put - put in the\n",
"war at the end of the administration. He's got to get us out in some lengthy\n",
"timetable that probably has to be 18 months or less.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row19_col2\"\n",
" class=\"data row19 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row19_col3\"\n",
" class=\"data row19 col3\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row20\" rowspan=1>\n",
" 20\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row20_col0\"\n",
" class=\"data row20 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row20_col1\"\n",
" class=\"data row20 col1\" >\n",
" (Off-camera) All right. A final question to you both because this is the first\n",
"political roundtable of '09, and get out your crystal ball here. Cokie, let's\n",
"start with you first. And everyone anxiously awaiting President-elect Barack\n",
"<span style=\"font-weight: bold\">Obama</span> and what is going to be an historic moment, and you're always good about\n",
"looking at the, having a historical perspective when it comes to politics.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row20_col2\"\n",
" class=\"data row20 col2\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row20_col3\"\n",
" class=\"data row20 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row21\" rowspan=1>\n",
" 21\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row21_col0\"\n",
" class=\"data row21 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row21_col1\"\n",
" class=\"data row21 col1\" >\n",
" (Off-camera) Well, I think that he is going to be very inspiring at his\n",
"inauguration. You know, one thing we know he knows how to do incredibly\n",
"beautifully is give a speech.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row21_col2\"\n",
" class=\"data row21 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row21_col3\"\n",
" class=\"data row21 col3\" >\n",
" <span style=\"font-weight: bold\">True</span>\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row22\" rowspan=1>\n",
" 22\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row22_col0\"\n",
" class=\"data row22 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row22_col1\"\n",
" class=\"data row22 col1\" >\n",
" (Voiceover) But, and I do think that the time is closer to Roosevelt than it is\n",
"to, say, Kennedy. I think that, you know, this is, that that's the model we\n",
"should be looking to for him. I also think he needs to do a lot of reaching out\n",
"to the Republicans and reinstituting what historically was true in the White\n",
"House, which is joint leadership meetings in both parties, doing some things to\n",
"make everybody feel like they're included in this new change we could believe\n",
"in.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row22_col2\"\n",
" class=\"data row22 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row22_col3\"\n",
" class=\"data row22 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row23\" rowspan=1>\n",
" 23\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row23_col0\"\n",
" class=\"data row23 col0\" >\n",
" MATTHEW DOWD \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row23_col1\"\n",
" class=\"data row23 col1\" >\n",
" (Off-camera) I think my prediction is the first big battle he has with Congress\n",
"will be with Democrats, not with Republicans. The first real fight that he has,\n",
"the first thing where he has to lay his political capital on the line will be\n",
"with the Democratic Party who now has the Congress by a huge margin. That's what\n",
"I think will happen.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row23_col2\"\n",
" class=\"data row23 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row23_col3\"\n",
" class=\"data row23 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row24\" rowspan=1>\n",
" 24\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row24_col0\"\n",
" class=\"data row24 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row24_col1\"\n",
" class=\"data row24 col1\" >\n",
" (Off-camera) That's what you think. We'll see what happens. Matthew Dowd, Cokie\n",
"Roberts, again, Happy New Year.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row24_col2\"\n",
" class=\"data row24 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row24_col3\"\n",
" class=\"data row24 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row25\" rowspan=1>\n",
" 25\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row25_col0\"\n",
" class=\"data row25 col0\" >\n",
" MATTHEW DOWD \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row25_col1\"\n",
" class=\"data row25 col1\" >\n",
" (Off-camera) Happy New Year.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row25_col2\"\n",
" class=\"data row25 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row25_col3\"\n",
" class=\"data row25 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row26\" rowspan=1>\n",
" 26\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row26_col0\"\n",
" class=\"data row26 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row26_col1\"\n",
" class=\"data row26 col1\" >\n",
" (Off-camera) Thanks for spending a portion with us.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row26_col2\"\n",
" class=\"data row26 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row26_col3\"\n",
" class=\"data row26 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row27\" rowspan=1>\n",
" 27\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row27_col0\"\n",
" class=\"data row27 col0\" >\n",
" COKIE ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row27_col1\"\n",
" class=\"data row27 col1\" >\n",
" (Off-camera) Thank you, Robin.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row27_col2\"\n",
" class=\"data row27 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row27_col3\"\n",
" class=\"data row27 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_77017a48_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row28\" rowspan=1>\n",
" 28\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row28_col0\"\n",
" class=\"data row28 col0\" >\n",
" ROBIN ROBERTS \n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row28_col1\"\n",
" class=\"data row28 col1\" >\n",
" (Off-camera) Appreciate that. Let's get over now with Diane.\n",
"\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row28_col2\"\n",
" class=\"data row28 col2\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_77017a48_1891_11e7_8836_000129a7b193row28_col3\"\n",
" class=\"data row28 col3\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" "
],
"text/plain": [
"<pandas.formats.style.Styler at 0x7f78b2d31438>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sample_df.style.apply(highlight_row_if_obama, axis=1).format(highlight_obama)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:53.359973",
"start_time": "2017-04-03T13:17:53.353212-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"from isolate_obama import obama_segments"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"The automated processing results in speech segment runs like these examples:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:54.054831",
"start_time": "2017-04-03T13:17:54.046451-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(Off-camera) All right, Chris. And now, our first political roundtable of the\n",
"New Year. And we're looking ahead at 2009, set to be an historic year, of\n",
"course, in politics. Barack Obama taking office in the midst of the worst\n",
"economic crisis in a generation.\n",
"\n",
"(Off-camera) Everyone wants to know what's coming next? So, to break it all\n",
"down, we're joined by our political dream team, they were a dream team in '08\n",
"and they are here in '09. That's Cokie Roberts, she's out in California, and our\n",
"political consultant Matthew Dowd. Good to have you both. Happy New Year. Happy\n",
"New Year.\n",
"\n"
]
}
],
"source": [
"print(mt.first(obama_segments(all_coverage_files[:1]))[2])"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:54.321629",
"start_time": "2017-04-03T13:17:54.310299-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Thank you.\n",
"\n",
"Well, you know, probably like -- like President Obama, they -- they're\n",
"shocked and shocked by these views, listening to Reverend Wright. Have no idea\n",
"what he was saying.\n",
"Although, you know, at least give the U.N. credit. They're better than\n",
"Columbia University. At least some people walked out.\n",
"But one of the things we haven't talked about. The United States of America pays\n",
"$5 billion. We bear the financial burden of the United Nations. And the question\n",
"is, we've got anti-Semitism rampant, anti- Americanism rampant.\n",
"\n"
]
}
],
"source": [
"print(mt.first(obama_segments(all_coverage_files[12:13]))[2])"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Preparing a cross-validation set "
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Infrastructure for manual classification"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"For cross-validation of different text analyzers, I'm going to need the ability to manually classify speech segments as positive, negative, or neutral."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:57.417467",
"start_time": "2017-04-03T13:17:57.405940-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"highlight_palette = sns.diverging_palette(10, 140, l=65, n=7, as_cmap=True)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:57.665975",
"start_time": "2017-04-03T13:17:57.631935-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"def evaluation_pane(text_source, callback):\n",
" '''Create a widget to manually evaluate the sentiment of pieces of text.\n",
" \n",
" - ``text_source`` is an iterable which yields pieces of text to evaluate,\n",
" or more precisely, pieces of HTML code\n",
" - ``callback`` is a function of one argument to be called when the user\n",
" rates the sentiment of the text. The argument is an integer ranging from\n",
" 0 (for very negative) to 4 (for very positive).'''\n",
" text_source = iter(text_source)\n",
" try:\n",
" text = next(text_source)\n",
" except StopIteration:\n",
" return\n",
"\n",
" html_widget = widgets.HTML(value=text)\n",
"\n",
" labels = ['Very Negative', 'Negative', 'Neutral', 'Positive', 'Very Positive']\n",
" styles = [widgets.ButtonStyle(button_color=mplcol.to_hex(c)) for c in highlight_palette(np.linspace(0, 1, len(labels)))]\n",
" icons = ['frown-o', 'frown-o', 'meh-o', 'smile-o', 'smile-o']\n",
"\n",
" buttons = [widgets.Button(description=label, tooltip=label, disabled=False, icon=icon, style=style)\n",
" for label, style, icon in zip(labels, styles, icons)]\n",
"\n",
" def click_handler(b):\n",
" callback(labels.index(b.description))\n",
" try:\n",
" html_widget.value = next(text_source)\n",
" except StopIteration:\n",
" html_widget.value = '<span style=\"color: #aaa\">(no more)</span>'\n",
" buttons[0].disabled = True\n",
" \n",
" for b in buttons:\n",
" b.on_click(click_handler)\n",
" if b is not buttons[0]:\n",
" widgets.jslink((buttons[0], 'disabled'), (b, 'disabled'))\n",
"\n",
" return widgets.VBox([\n",
" html_widget,\n",
" widgets.HBox(buttons)\n",
" ])"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:17:58.533900",
"start_time": "2017-04-03T13:17:58.523499-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# adapted from http://stackoverflow.com/a/12583436/56541\n",
"def reservoir_sample(iterable, n):\n",
" '''Select ``n`` elements from an ``iterable`` of unknown length\n",
" uniformly at random (i.e. each element in the iterable has an\n",
" equal chance of having been picked at the end).'''\n",
" iterator = iter(iterable)\n",
" # Fill in the first n elements\n",
" try:\n",
" results = [next(iterator) for i in range(n)]\n",
" except StopIteration:\n",
" raise ValueError('Desired sample size larger than population')\n",
" random.shuffle(results) # Randomize their positions\n",
" for i, element in enumerate(iterator, n):\n",
" r = random.randint(0, i)\n",
" if r < n:\n",
" results[r] = element # at a decreasing rate, replace random items\n",
" return results"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Let's try this out by manually classifying some speech segments from the first coverage file."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:02.140361",
"start_time": "2017-04-03T13:18:01.217537-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"sample_segments = pd.DataFrame(list(t[1:] for t in obama_segments(all_coverage_files[:1])), columns=['Speaker', 'Speech', 'Line', 'Filename'])"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:02.157774",
"start_time": "2017-04-03T13:18:02.142436-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Speaker</th>\n",
" <th>Speech</th>\n",
" <th>Line</th>\n",
" <th>Filename</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>ROBIN ROBERTS</td>\n",
" <td>(Off-camera) All right, Chris. And now, our fi...</td>\n",
" <td>24</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>COKIE ROBERTS</td>\n",
" <td>(Off-camera) Same to you, Robin.\\n\\n(Off-camer...</td>\n",
" <td>47</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>ROBIN ROBERTS</td>\n",
" <td>(Off-camera) Historically, presidents have rea...</td>\n",
" <td>75</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>MATTHEW DOWD</td>\n",
" <td>(Off-camera) Well, interesting, he's got the B...</td>\n",
" <td>142</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>CHRIS CUOMO</td>\n",
" <td>(Off-camera) All right. Thank you. Well, Washi...</td>\n",
" <td>233</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Speaker Speech Line \\\n",
"0 ROBIN ROBERTS (Off-camera) All right, Chris. And now, our fi... 24 \n",
"1 COKIE ROBERTS (Off-camera) Same to you, Robin.\\n\\n(Off-camer... 47 \n",
"2 ROBIN ROBERTS (Off-camera) Historically, presidents have rea... 75 \n",
"3 MATTHEW DOWD (Off-camera) Well, interesting, he's got the B... 142 \n",
"4 CHRIS CUOMO (Off-camera) All right. Thank you. Well, Washi... 233 \n",
"\n",
" Filename \n",
"0 ../coverage/2009/ABC_News_Transcripts_Obama_20... \n",
"1 ../coverage/2009/ABC_News_Transcripts_Obama_20... \n",
"2 ../coverage/2009/ABC_News_Transcripts_Obama_20... \n",
"3 ../coverage/2009/ABC_News_Transcripts_Obama_20... \n",
"4 ../coverage/2009/ABC_News_Transcripts_Obama_20... "
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sample_segments.head()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:03.697596",
"start_time": "2017-04-03T13:18:03.553222-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "12ff849c75df4617a4e75a8a8a969746"
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sample_cv_set = sample_segments.sample(10)\n",
"ratings = []\n",
"evaluation_pane(map(\n",
" lambda s: s.replace('\\n', '<br>'),\n",
" sample_cv_set['Speech']\n",
"), ratings.append)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:04.013163",
"start_time": "2017-04-03T13:18:03.846283-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"ename": "ValueError",
"evalue": "Length of values does not match length of index",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-23-d3da50e0df99>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msample_cv_set\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Rating'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mratings\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m/home/diazona/DataScience/2017-Obama-NLTP/python/lib/python3.4/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__setitem__\u001b[0;34m(self, key, value)\u001b[0m\n\u001b[1;32m 2417\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2418\u001b[0m \u001b[0;31m# set column\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2419\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_item\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2420\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2421\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_setitem_slice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/home/diazona/DataScience/2017-Obama-NLTP/python/lib/python3.4/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_set_item\u001b[0;34m(self, key, value)\u001b[0m\n\u001b[1;32m 2483\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2484\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ensure_valid_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2485\u001b[0;31m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sanitize_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2486\u001b[0m \u001b[0mNDFrame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_item\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2487\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/home/diazona/DataScience/2017-Obama-NLTP/python/lib/python3.4/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_sanitize_column\u001b[0;34m(self, key, value, broadcast)\u001b[0m\n\u001b[1;32m 2654\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2655\u001b[0m \u001b[0;31m# turn me into an ndarray\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2656\u001b[0;31m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_sanitize_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2657\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIndex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2658\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m/home/diazona/DataScience/2017-Obama-NLTP/python/lib/python3.4/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m_sanitize_index\u001b[0;34m(data, index, copy)\u001b[0m\n\u001b[1;32m 2798\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2799\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2800\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Length of values does not match length of '\u001b[0m \u001b[0;34m'index'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2801\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2802\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPeriodIndex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: Length of values does not match length of index"
]
}
],
"source": [
"sample_cv_set['Rating'] = ratings"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T07:55:47.501796",
"start_time": "2017-04-03T03:55:47.474640-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Speaker</th>\n",
" <th>Speech</th>\n",
" <th>Line</th>\n",
" <th>Filename</th>\n",
" <th>Rating</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>454</th>\n",
" <td>CHARLES GIBSON</td>\n",
" <td>(Voiceover) Moving the word faithfully from th...</td>\n",
" <td>38299</td>\n",
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" <td>LINDA DOUGLASS</td>\n",
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" <th>690</th>\n",
" <td>KATE SNOW</td>\n",
" <td>(Voiceover) Nearly 600,000 Americans lost thei...</td>\n",
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" <td>3</td>\n",
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" <td>CHRIS CUOMO</td>\n",
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" <td>CHARLES GIBSON</td>\n",
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" <td>4</td>\n",
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" Speaker \\\n",
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"213 CHARLES GIBSON \n",
"805 SENATOR CHUCK SCHUMER \n",
"187 DEBORAH ROBERTS \n",
"575 CHRIS CUOMO \n",
"400 CHARLES GIBSON \n",
"707 GEORGE STEPHANOPOULOS \n",
"150 KATE SNOW \n",
"\n",
" Speech Line \\\n",
"454 (Voiceover) Moving the word faithfully from th... 38299 \n",
"209 It's the inaugural seal that brings people her... 18768 \n",
"690 (Voiceover) Nearly 600,000 Americans lost thei... 59551 \n",
"213 (Off-camera) President-elect Obama traveled to... 19196 \n",
"805 ...on the floor of the Senate where there was ... 70625 \n",
"187 (Voiceover) We begin this hour with breaking n... 16932 \n",
"575 (Off-camera) All right. Super Bowl's coming. I... 49025 \n",
"400 (Off-camera) Worldwide reaction to Barack Obam... 34271 \n",
"707 (Off-camera) Hello, again. It is all about the... 60792 \n",
"150 (Off-camera) But first, we begin in Washington... 13562 \n",
"\n",
" Filename Rating \n",
"454 ../coverage/2009/ABC_News_Transcripts_Obama_20... 1 \n",
"209 ../coverage/2009/ABC_News_Transcripts_Obama_20... 2 \n",
"690 ../coverage/2009/ABC_News_Transcripts_Obama_20... 1 \n",
"213 ../coverage/2009/ABC_News_Transcripts_Obama_20... 3 \n",
"805 ../coverage/2009/ABC_News_Transcripts_Obama_20... 2 \n",
"187 ../coverage/2009/ABC_News_Transcripts_Obama_20... 3 \n",
"575 ../coverage/2009/ABC_News_Transcripts_Obama_20... 2 \n",
"400 ../coverage/2009/ABC_News_Transcripts_Obama_20... 4 \n",
"707 ../coverage/2009/ABC_News_Transcripts_Obama_20... 2 \n",
"150 ../coverage/2009/ABC_News_Transcripts_Obama_20... 2 "
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sample_cv_set"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Performing the classification"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Now I'll apply the same technique to a random sample from the full set of speech segments, to prepare a cross-validation set to use for the models I'm going to create later."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:16.060766",
"start_time": "2017-04-03T13:18:16.053748-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# If there is a pickled record of cv_segments, load it rather than regenerating it\n",
"cv_segments = pd.read_pickle('cv_segments_rated.pickle')"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T08:10:09.648813",
"start_time": "2017-04-03T04:06:57.656161-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# Or, regenerate cv_segments from scratch\n",
"cv_segments = pd.DataFrame(reservoir_sample(\n",
" (t[1:] for t in obama_segments(all_coverage_files)),\n",
" 100\n",
"), columns=['Speaker', 'Speech', 'Line', 'Filename'])"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T08:21:21.093210",
"start_time": "2017-04-03T04:21:20.972151-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "8ccfa4e7519d4d7f8e539a17ce70622d"
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# and manually compute the ratings\n",
"ratings = []\n",
"evaluation_pane(map(\n",
" lambda s: s.replace('\\n', '<br>'),\n",
" cv_segments['Speech']\n",
"), ratings.append)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T09:49:10.257209",
"start_time": "2017-04-03T05:49:10.247287-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# and assign the manual ratings to the DataFrame\n",
"cv_segments['Rating'] = ratings"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T09:50:06.076168",
"start_time": "2017-04-03T05:50:06.065079-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# and pickle it\n",
"cv_segments.to_pickle('cv_segments_rated.pickle')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:18.119938",
"start_time": "2017-04-03T13:18:18.097389-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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"text/plain": [
" Speaker Speech \\\n",
"0 TARA MERGENER Both Democrats and the GOP are condemning the ... \n",
"1 ANDERSON COOPER Jim, it's also painting with a very broad brus... \n",
"2 PRESIDENT BARACK OBAMA For a lot of the average kids who are not goin... \n",
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"3 2730 ../coverage/2009/ABC_News_Transcripts_Obama_20... 2 \n",
"4 72464 ../coverage/2013/Fox_News_Network_Obama_2013_1... 0 "
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# OK time to start executing again even if cv_segments was loaded from a file\n",
"cv_segments.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"# Sentiment Analysis "
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Now we can apply NLTK, through the [`textblob` package](https://textblob.readthedocs.io/en/dev/), to analyze the sentiment of each speech segment."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:35.309591",
"start_time": "2017-04-03T13:18:35.091726-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"import textblob\n",
"from textblob import TextBlob\n",
"from textblob.en.sentiments import NaiveBayesAnalyzer"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Analyzing a sample segment run"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Let's pick a sample of speech and work out how to analyze its sentiment. We'll start with a `NaiveBayesAnalyzer` which is trained on the [NLTK movie review corpus](https://www.cs.cornell.edu/people/pabo/movie-review-data/) (keeping in mind that movie reviews are not an ideal training set for classification of news transcripts, but it'll do as a starting point to work out the method)."
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:38.524986",
"start_time": "2017-04-03T13:18:38.521846-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"analyzer = NaiveBayesAnalyzer()"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Recall our first sample segment looks like this. It gets a classification of positive sentiment with 96% probability."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:45.095200",
"start_time": "2017-04-03T13:18:39.046004-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(Off-camera) All right, Chris. And now, our first political roundtable of the\n",
"New Year. And we're looking ahead at 2009, set to be an historic year, of\n",
"course, in politics. Barack Obama taking office in the midst of the worst\n",
"economic crisis in a generation.\n",
"\n",
"(Off-camera) Everyone wants to know what's coming next? So, to break it all\n",
"down, we're joined by our political dream team, they were a dream team in '08\n",
"and they are here in '09. That's Cokie Roberts, she's out in California, and our\n",
"political consultant Matthew Dowd. Good to have you both. Happy New Year. Happy\n",
"New Year.\n",
"\n"
]
},
{
"data": {
"text/plain": [
"Sentiment(classification='pos', p_pos=0.9762471244642831, p_neg=0.023752875535722414)"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(sample_segments.iloc[0]['Speech'])\n",
"analyzer.analyze(sample_segments.iloc[0]['Speech'])"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:45.260484",
"start_time": "2017-04-03T13:18:45.097286-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true,
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"outputs": [],
"source": [
"# Some code to display speech segments nicely formatted with the strongest features highlighted\n",
"\n",
"def canonicalize_token(t):\n",
" return t.lower()\n",
"\n",
"def identify_features(text, analyzer):\n",
" '''Returns a DataFrame with probability scores of features\n",
" that contributed to the classification of the given text.\n",
" This is largely copied from NaiveBayesClassifier.prob_classify()\n",
" and NaiveBayesAnalyzer.analyze() and uses some ostensibly private\n",
" attributes of those classes.'''\n",
" \n",
" tokens = textblob.tokenizers.word_tokenize(text, include_punc=False)\n",
" filtered = (canonicalize_token(t) for t in tokens if len(t) >= 3)\n",
" featureset = analyzer.feature_extractor(filtered)\n",
"\n",
" classifier = analyzer._classifier\n",
" for fname in list(featureset.keys()):\n",
" for label in classifier._labels:\n",
" if (label, fname) in classifier._feature_probdist:\n",
" break\n",
" else:\n",
" del featureset[fname]\n",
"\n",
" # Find the log probabilty of each label, given the features.\n",
" # Start with the log probability of the label itself.\n",
" logprob = {}\n",
" for label in classifier._labels:\n",
" logprob[label] = classifier._label_probdist.logprob(label)\n",
"\n",
" # Then add in the log probability of features given labels.\n",
" logprob_for_all_features = {}\n",
" for (fname, fval) in featureset.items():\n",
" logprob_for_feature = {}\n",
" for label in classifier._labels:\n",
" if (label, fname) in classifier._feature_probdist:\n",
" feature_probs = classifier._feature_probdist[label, fname]\n",
" logprob_for_feature[label] = feature_probs.logprob(fval)\n",
" else:\n",
" # nb: This case will never come up if the classifier was created by\n",
" # NaiveBayesClassifier.train().\n",
" logprob_for_feature[label] = nltk.probability.sum_logs([]) # = -INF.\n",
" logprob_for_all_features[fname] = logprob_for_feature\n",
" \n",
" return pd.DataFrame(logprob_for_all_features).T\n",
"\n",
"def highlight_row_by_zdiff(row):\n",
" color = mplcol.to_hex(highlight_palette(row['Z difference'] / 10 + 0.5))\n",
" style = 'background-color: {}'.format(color)\n",
" return [style for _ in row]\n",
"\n",
"def pos_neg_neu_color_code(sentiment):\n",
" if sentiment in ('pos', 'positive', True, 1):\n",
" return mplcol.to_hex(highlight_palette(1.0))\n",
" elif sentiment in ('neg', 'negative', False, 0):\n",
" return mplcol.to_hex(highlight_palette(0.0))\n",
" else:\n",
" return '#555'\n",
"\n",
"def _mark_features_generator(text_list, analyzer):\n",
" for text in text_list:\n",
" logprob_df = identify_features(text, analyzer)\n",
" logprob_difference = logprob_df['pos'] - logprob_df['neg']\n",
" if logprob_difference.max() == logprob_difference.min():\n",
" logprob_df['Z difference'] = np.sign(logprob_difference)\n",
" else:\n",
" logprob_df['Z difference'] = spst.zscore(logprob_difference)\n",
"\n",
" def highlight_by_logprob(m):\n",
" try:\n",
" Z = logprob_df.loc[canonicalize_token(m.group()), 'Z difference']\n",
" except KeyError:\n",
" return m.group()\n",
" else:\n",
" if Z == 0:\n",
" return m.group()\n",
" else:\n",
" return '<span style=\"background-color: {}\">{}</span>'.format(\n",
" mplcol.to_hex(highlight_palette(Z / 10 + 0.5)), m.group()\n",
" )\n",
"\n",
" r = re.compile(r'\\b{}\\b'.format('|'.join(logprob_df.index)), re.IGNORECASE)\n",
" highlighted_text = r.sub(highlight_by_logprob, text).replace('\\n', '<br>')\n",
"\n",
" logprob_df['abs Z difference'] = np.abs(logprob_df['Z difference'])\n",
" strongest_features = logprob_df.sort_values('abs Z difference').iloc[-8:].sort_values('Z difference', ascending=False).drop('abs Z difference', axis=1)\n",
" strongest_features_html = strongest_features.style.apply(highlight_row_by_zdiff, axis=1).render()\n",
"\n",
" sentiment = analyzer.analyze(text)\n",
" if sentiment.p_pos == 0.5:\n",
" sentiment_word = 'neutral'\n",
" p_name = 'p<sub>pos</sub>'\n",
" probability = sentiment.p_pos\n",
" elif sentiment.classification == 'pos':\n",
" sentiment_word = 'positive'\n",
" p_name = 'p<sub>pos</sub>'\n",
" probability = sentiment.p_pos\n",
" else:\n",
" sentiment_word = 'negative'\n",
" p_name = 'p<sub>neg</sub>'\n",
" probability = sentiment.p_neg\n",
" color_code = pos_neg_neu_color_code(sentiment_word)\n",
" sentiment_html = '<b>Sentiment:</b> <span style=\"color: {}\">{}</span> (<tt>{}={:.3g}</tt>)'.format(\n",
" color_code,\n",
" sentiment_word,\n",
" p_name,\n",
" probability\n",
" )\n",
" yield '''\n",
" <tr>\n",
" <td class=\"highlight-text\">{}</td>\n",
" <td rowspan=\"2\" class=\"feature-df\">{}</td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\">{}</td>\n",
" </tr>'''.format(highlighted_text, strongest_features_html, sentiment_html)\n",
"\n",
"def mark_features(text_list, analyzer):\n",
" '''Returns a nice HTML-formatted rendering of the output of identify_features().'''\n",
" if isinstance(text_list, str):\n",
" text_list = [text_list]\n",
" return '''<table class=\"segment-features\">\n",
" <thead><tr>\n",
" <th>Text</th>\n",
" <th>Strongest features</th>\n",
" </tr></thead>\n",
" <tbody>{}</tbody>\n",
" </table>'''.format('\\n'.join(_mark_features_generator(text_list, analyzer)))\n"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:45.276159",
"start_time": "2017-04-03T13:18:45.262587-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\">\n",
" table.segment-features { border: none; }\n",
" table.segment-features tr { border: none; }\n",
" table.segment-features > thead > tr > th { background-color: #dde; border: 1px solid white; }\n",
" table.segment-features > tbody > tr > td { border: none; vertical-align: top; }\n",
" table.segment-features > tbody > tr { border-bottom: 1px solid #aaa; }\n",
"</style>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
"<style type=\"text/css\">\n",
" table.segment-features { border: none; }\n",
" table.segment-features tr { border: none; }\n",
" table.segment-features > thead > tr > th { background-color: #dde; border: 1px solid white; }\n",
" table.segment-features > tbody > tr > td { border: none; vertical-align: top; }\n",
" table.segment-features > tbody > tr { border-bottom: 1px solid #aaa; }\n",
"</style>"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"This shows which parts of the sample segment contribute most strongly to its classification one way or another. Some of the choices (like \"politics\" and \"Dowd\" being strongly positive) seem kind of odd, which may reflect the incompatibility between movie reviews and news coverage."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:45.362985",
"start_time": "2017-04-03T13:18:45.284099-04:00"
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"collapsed": false,
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"outputs": [
{
"data": {
"text/html": [
"<table class=\"segment-features\">\n",
" <thead><tr>\n",
" <th>Text</th>\n",
" <th>Strongest features</th>\n",
" </tr></thead>\n",
" <tbody>\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) <span style=\"background-color: #f2f2f2\">All</span> <span style=\"background-color: #ebf6ef\">right</span>, <span style=\"background-color: #fbe1e2\">Chris</span>. <span style=\"background-color: #f2f2f2\">And</span> <span style=\"background-color: #f2f2f2\">now</span>, <span style=\"background-color: #f2f2f2\">our</span> <span style=\"background-color: #f2f2f2\">first</span> <span style=\"background-color: #b2dcc2\">political</span> <span style=\"background-color: #f4b1b4\">roundtable</span> of <span style=\"background-color: #f2f2f2\">the</span><br><span style=\"background-color: #f2f2f2\">New</span> <span style=\"background-color: #f2f2f2\">Year</span>. <span style=\"background-color: #f2f2f2\">And</span> we're <span style=\"background-color: #fbe6e7\">looking</span> <span style=\"background-color: #f2f2f2\">ahead</span> at 2009, <span style=\"background-color: #f2f2f2\">set</span> to be an <span style=\"background-color: #bfe2cd\">historic</span> <span style=\"background-color: #f2f2f2\">year</span>, of<br><span style=\"background-color: #fbe6e7\">course</span>, in <span style=\"background-color: #aedbbf\">politics</span>. Barack Obama <span style=\"background-color: #ecf7f0\">taking</span> <span style=\"background-color: #fce7e8\">office</span> in <span style=\"background-color: #f2f2f2\">the</span> <span style=\"background-color: #f2f2f2\">midst</span> of <span style=\"background-color: #f2f2f2\">the</span> <span style=\"background-color: #f19da1\">worst</span><br><span style=\"background-color: #c0e3ce\">economic</span> <span style=\"background-color: #cde9d8\">crisis</span> in a <span style=\"background-color: #f2f2f2\">generation</span>.<br><br>(Off-camera) <span style=\"background-color: #edf7f1\">Everyone</span> <span style=\"background-color: #f2f2f2\">wants</span> to <span style=\"background-color: #fbe5e6\">know</span> <span style=\"background-color: #fce9ea\">what</span>'s <span style=\"background-color: #f2f2f2\">coming</span> <span style=\"background-color: #f2f2f2\">next</span>? So, to <span style=\"background-color: #ebf6ef\">break</span> it <span style=\"background-color: #f2f2f2\">all</span><br><span style=\"background-color: #f2f2f2\">down</span>, we're <span style=\"background-color: #f2f2f2\">joined</span> by <span style=\"background-color: #f2f2f2\">our</span> <span style=\"background-color: #b2dcc2\">political</span> <span style=\"background-color: #cce8d7\">dream</span> <span style=\"background-color: #fbe6e7\">team</span>, <span style=\"background-color: #f2f2f2\">the</span>y <span style=\"background-color: #fbe5e6\">were</span> a <span style=\"background-color: #cce8d7\">dream</span> <span style=\"background-color: #fbe6e7\">team</span> in '08<br><span style=\"background-color: #f2f2f2\">and</span> <span style=\"background-color: #f2f2f2\">the</span>y <span style=\"background-color: #f2f2f2\">are</span> <span style=\"background-color: #fbe1e2\">here</span> in '09. <span style=\"background-color: #f2f2f2\">That</span>'s Cokie <span style=\"background-color: #fce7e8\">Roberts</span>, <span style=\"background-color: #fce9ea\">she</span>'s <span style=\"background-color: #fbe6e7\">out</span> in <span style=\"background-color: #ddf0e4\">California</span>, <span style=\"background-color: #f2f2f2\">and</span> <span style=\"background-color: #f2f2f2\">our</span><br><span style=\"background-color: #b2dcc2\">political</span> <span style=\"background-color: #f4b1b4\">consultant</span> <span style=\"background-color: #fce8e9\">Matthew</span> <span style=\"background-color: #a6d7b9\">Dowd</span>. <span style=\"background-color: #f2f2f2\">Good</span> to <span style=\"background-color: #fbe4e5\">have</span> <span style=\"background-color: #fce9ea\">you</span> <span style=\"background-color: #d9eee1\">both</span>. <span style=\"background-color: #e5f3ea\">Happy</span> <span style=\"background-color: #f2f2f2\">New</span> <span style=\"background-color: #f2f2f2\">Year</span>. <span style=\"background-color: #e5f3ea\">Happy</span><br><span style=\"background-color: #f2f2f2\">New</span> <span style=\"background-color: #f2f2f2\">Year</span>.<br></td>\n",
" <td rowspan=\"2\" class=\"feature-df\">\n",
" <style type=\"text/css\" >\n",
" \n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row0_col0 {\n",
" \n",
" background-color: #a6d7b9;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row0_col1 {\n",
" \n",
" background-color: #a6d7b9;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row0_col2 {\n",
" \n",
" background-color: #a6d7b9;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row1_col0 {\n",
" \n",
" background-color: #aedbbf;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row1_col1 {\n",
" \n",
" background-color: #aedbbf;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row1_col2 {\n",
" \n",
" background-color: #aedbbf;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row2_col0 {\n",
" \n",
" background-color: #b2dcc2;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row2_col1 {\n",
" \n",
" background-color: #b2dcc2;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row2_col2 {\n",
" \n",
" background-color: #b2dcc2;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row3_col0 {\n",
" \n",
" background-color: #bfe2cd;\n",
" \n",
" }\n",
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" #T_97c1e204_1891_11e7_8836_000129a7b193row3_col1 {\n",
" \n",
" background-color: #bfe2cd;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row3_col2 {\n",
" \n",
" background-color: #bfe2cd;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row4_col0 {\n",
" \n",
" background-color: #c0e3ce;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row4_col1 {\n",
" \n",
" background-color: #c0e3ce;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row4_col2 {\n",
" \n",
" background-color: #c0e3ce;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row5_col0 {\n",
" \n",
" background-color: #f4b1b4;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row5_col1 {\n",
" \n",
" background-color: #f4b1b4;\n",
" \n",
" }\n",
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" #T_97c1e204_1891_11e7_8836_000129a7b193row5_col2 {\n",
" \n",
" background-color: #f4b1b4;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row6_col0 {\n",
" \n",
" background-color: #f4b1b4;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row6_col1 {\n",
" \n",
" background-color: #f4b1b4;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row6_col2 {\n",
" \n",
" background-color: #f4b1b4;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row7_col0 {\n",
" \n",
" background-color: #f19da1;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row7_col1 {\n",
" \n",
" background-color: #f19da1;\n",
" \n",
" }\n",
" \n",
" #T_97c1e204_1891_11e7_8836_000129a7b193row7_col2 {\n",
" \n",
" background-color: #f19da1;\n",
" \n",
" }\n",
" \n",
" </style>\n",
"\n",
" <table id=\"T_97c1e204_1891_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" dowd\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -10.9672\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -9.38226\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 2.34659\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" politics\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -6.57491\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -5.13434\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 2.11825\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" political\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -5.2948\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -3.91194\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 2.02697\n",
" \n",
" \n",
" </tr>\n",
" \n",
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" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
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" \n",
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" class=\"data row3 col0\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row3_col2\"\n",
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" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" economic\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -8.15987\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" 1.57891\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
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" \n",
" \n",
" \n",
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" class=\"data row5 col0\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
" -8.6453\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" -2.66653\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" roundtable\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" -9.38226\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" -10.9672\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" -2.66653\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_97c1e204_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" worst\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" -2.3636\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" -4.49149\n",
" \n",
" \n",
" \n",
" <td id=\"T_97c1e204_1891_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" -3.52516\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.976</tt>)</td>\n",
" </tr></tbody>\n",
" </table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"HTML(mark_features(sample_segments.iloc[0]['Speech'], analyzer))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"And another example with some more odd choices of strong features, like \"hatched\" and \"today\". (And \"Christmas\" as negative? Come on people)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:47.470362",
"start_time": "2017-04-03T13:18:47.395053-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
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"outputs": [
{
"data": {
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"<table class=\"segment-features\">\n",
" <thead><tr>\n",
" <th>Text</th>\n",
" <th>Strongest features</th>\n",
" </tr></thead>\n",
" <tbody>\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) As <span style=\"background-color: #dbefe3\">President</span> Obama <span style=\"background-color: #e7f4ec\">confirmed</span> <span style=\"background-color: #c1e3cf\">today</span>, <span style=\"background-color: #fbe5e6\">the</span> <span style=\"background-color: #f9d6d8\">Christmas</span> <span style=\"background-color: #f2f2f2\">Day</span> <span style=\"background-color: #f2f2f2\">terror</span> <span style=\"background-color: #f8d2d4\">plot</span><br><span style=\"background-color: #fbe3e4\">was</span> <span style=\"background-color: #75c193\">hatched</span> by a <span style=\"background-color: #fbe5e6\">faction</span> of al Qaeda <span style=\"background-color: #cce8d7\">operating</span> <span style=\"background-color: #fbe1e2\">out</span> of <span style=\"background-color: #fbe5e6\">the</span> <span style=\"background-color: #e2f2e8\">country</span> of <span style=\"background-color: #f2a4a8\">Yemen</span>. <span style=\"background-color: #fbe5e6\">The</span><br><span style=\"background-color: #f2f2f2\">White</span> <span style=\"background-color: #f2f2f2\">House</span> <span style=\"background-color: #fce8e9\">has</span> <span style=\"background-color: #fbe2e3\">been</span> <span style=\"background-color: #f2f2f2\">focusing</span> <span style=\"background-color: #fadcdd\">money</span> <span style=\"background-color: #fbe5e6\">and</span> <span style=\"background-color: #def0e5\">attention</span> on <span style=\"background-color: #f2a4a8\">Yemen</span> <span style=\"background-color: #fbe5e6\">for</span> <span style=\"background-color: #fbe1e2\">some</span> <span style=\"background-color: #fce7e8\">time</span>. <span style=\"background-color: #fbe6e7\">Now</span>,<br><span style=\"background-color: #f2f2f2\">top</span> <span style=\"background-color: #b8dfc7\">officials</span> <span style=\"background-color: #fbe5e6\">say</span> <span style=\"background-color: #fbe5e6\">the</span>y <span style=\"background-color: #f2f2f2\">will</span> <span style=\"background-color: #fadbdc\">double</span> <span style=\"background-color: #fbe5e6\">the</span> <span style=\"background-color: #fadcdd\">money</span> <span style=\"background-color: #fbe5e6\">the</span> US <span style=\"background-color: #fce8e9\">has</span> <span style=\"background-color: #f2f2f2\">sent</span> to <span style=\"background-color: #fbe5e6\">that</span> <span style=\"background-color: #e2f2e8\">country</span> to<br><span style=\"background-color: #f2f2f2\">fight</span> <span style=\"background-color: #f2f2f2\">terror</span>. <span style=\"background-color: #f9d7d9\">Rachel</span> <span style=\"background-color: #e2f2e8\">Martin</span> <span style=\"background-color: #cee9d9\">reports</span>.<br><br>(<span style=\"background-color: #cce8d7\">Voiceover</span>) <span style=\"background-color: #e2f2e8\">Eight</span> <span style=\"background-color: #ebf6ef\">years</span> <span style=\"background-color: #fbe5e6\">after</span> 9/11, al Qaeda is <span style=\"background-color: #f2f2f2\">alive</span> <span style=\"background-color: #fbe5e6\">and</span> <span style=\"background-color: #fbe3e4\">growing</span>.<br></td>\n",
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"\n",
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"\n",
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" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" hatched\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row0_col1\"\n",
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" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 3.78993\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" officials\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -7.7973\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -6.57491\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 1.81334\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" today\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -4.59219\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -3.51602\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 1.55048\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" operating\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -8.15987\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" -7.26679\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" 1.22135\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" voiceover\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -8.15987\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" -7.26679\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" 1.22135\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" reports\n",
" \n",
" \n",
" \n",
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" class=\"data row5 col0\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" 1.1403\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" plot\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" -0.951811\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" -1.41456\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" -1.21598\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_99036598_1891_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" yemen\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" -9.38226\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" -10.9672\n",
" \n",
" \n",
" \n",
" <td id=\"T_99036598_1891_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" -3.23335\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.999</tt>)</td>\n",
" </tr></tbody>\n",
" </table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"HTML(mark_features(sample_segments.iloc[15]['Speech'], analyzer))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Global analysis by show"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Setting aside the shortcomings of the training data for now, let's go about applying it to the full set of speech segments and comparing the results by show and by network."
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:49.763115",
"start_time": "2017-04-03T13:18:49.749599-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"def get_show(transcript):\n",
" '''Return the show name (or closest equivalent) for a transcript'''\n",
" return transcript.metadata.get('show') or transcript.metadata.get('organization')\n",
"\n",
"filename_network_regex = re.compile('(?<=/)ABC|CBS|NBC|Fox|CNN')\n",
"def get_network(transcript):\n",
" '''Return the network which a transcript is associated with'''\n",
" return filename_network_regex.search(transcript.metadata['filename']).group(0)"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:18:50.918786",
"start_time": "2017-04-03T13:18:50.909211-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"# I use an iterative algorithm to process transcripts instead of\n",
"# storing all the transcripts in a DataFrame to ease memory requirements\n",
"# in the face of a large data set. (Though it's not really that large.)\n",
"def segment_analysis(filenames, analyzer):\n",
" for transcript, speaker, segment, line, filename in obama_segments(filenames):\n",
" blob = TextBlob(segment, analyzer=analyzer)\n",
" yield (blob.sentiment.classification == 'pos',\n",
" blob.sentiment.p_pos,\n",
" get_show(transcript),\n",
" get_network(transcript),\n",
" transcript.datetime,\n",
" filename,\n",
" line)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:39:00.590876",
"start_time": "2017-04-03T13:18:51.659690-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"analyzed_segments = pd.DataFrame(\n",
" segment_analysis(all_coverage_files, analyzer),\n",
" columns=['Positive', 'p_pos', 'Show', 'Network', 'Date', 'Filename', 'First line']\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:44:38.564860",
"start_time": "2017-04-03T13:44:38.529240-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Positive</th>\n",
" <th>p_pos</th>\n",
" <th>Show</th>\n",
" <th>Network</th>\n",
" <th>Date</th>\n",
" <th>Filename</th>\n",
" <th>First line</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>True</td>\n",
" <td>0.976247</td>\n",
" <td>GOOD MORNING AMERICA</td>\n",
" <td>ABC</td>\n",
" <td>2009-01-01 07:12:00</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" <td>24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>True</td>\n",
" <td>0.996297</td>\n",
" <td>GOOD MORNING AMERICA</td>\n",
" <td>ABC</td>\n",
" <td>2009-01-01 07:12:00</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" <td>47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>True</td>\n",
" <td>0.959122</td>\n",
" <td>GOOD MORNING AMERICA</td>\n",
" <td>ABC</td>\n",
" <td>2009-01-01 07:12:00</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" <td>75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>True</td>\n",
" <td>0.999143</td>\n",
" <td>GOOD MORNING AMERICA</td>\n",
" <td>ABC</td>\n",
" <td>2009-01-01 07:12:00</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" <td>142</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>False</td>\n",
" <td>0.409411</td>\n",
" <td>GOOD MORNING AMERICA</td>\n",
" <td>ABC</td>\n",
" <td>2009-01-01 07:07:00</td>\n",
" <td>../coverage/2009/ABC_News_Transcripts_Obama_20...</td>\n",
" <td>233</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Positive p_pos Show Network Date \\\n",
"0 True 0.976247 GOOD MORNING AMERICA ABC 2009-01-01 07:12:00 \n",
"1 True 0.996297 GOOD MORNING AMERICA ABC 2009-01-01 07:12:00 \n",
"2 True 0.959122 GOOD MORNING AMERICA ABC 2009-01-01 07:12:00 \n",
"3 True 0.999143 GOOD MORNING AMERICA ABC 2009-01-01 07:12:00 \n",
"4 False 0.409411 GOOD MORNING AMERICA ABC 2009-01-01 07:07:00 \n",
"\n",
" Filename First line \n",
"0 ../coverage/2009/ABC_News_Transcripts_Obama_20... 24 \n",
"1 ../coverage/2009/ABC_News_Transcripts_Obama_20... 47 \n",
"2 ../coverage/2009/ABC_News_Transcripts_Obama_20... 75 \n",
"3 ../coverage/2009/ABC_News_Transcripts_Obama_20... 142 \n",
"4 ../coverage/2009/ABC_News_Transcripts_Obama_20... 233 "
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"analyzed_segments.head()"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:44:40.815217",
"start_time": "2017-04-03T13:44:40.803503-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
"text/plain": [
"961905"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"analyzed_segments.size"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"### Network anomalies "
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"There are a few cases where the show of a transcript does not air the network whose file the transcript is in. I'm not sure what's going on with these, but these do show up in the source data so it's not a failure of the analysis. For example:"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:44:46.183795",
"start_time": "2017-04-03T13:44:45.261950-04:00"
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"collapsed": false,
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},
"outputs": [
{
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" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Positive p_pos Show Network Date \\\n",
"53600 True 1.000000 CBS EVENING NEWS Fox 2011-07-25 18:30:00 \n",
"53601 True 0.501117 CBS EVENING NEWS Fox 2011-07-25 18:30:00 \n",
"53702 True 0.987541 CBS EVENING NEWS Fox 2011-07-26 18:30:00 \n",
"53703 True 0.989745 CBS EVENING NEWS Fox 2011-07-26 18:30:00 \n",
"53704 True 0.987434 CBS EVENING NEWS Fox 2011-07-26 18:30:00 \n",
"53705 True 0.999997 CBS EVENING NEWS Fox 2011-07-26 18:30:00 \n",
"53706 True 0.999871 CBS EVENING NEWS Fox 2011-07-26 18:30:00 \n",
"74792 True 0.961323 CBS EVENING NEWS Fox 2012-06-14 18:30:00 \n",
"74793 True 1.000000 CBS EVENING NEWS Fox 2012-06-14 18:30:00 \n",
"\n",
" Filename First line \n",
"53600 ../coverage/2011/Fox_News_Network_Obama_2011_1... 66071 \n",
"53601 ../coverage/2011/Fox_News_Network_Obama_2011_1... 66576 \n",
"53702 ../coverage/2011/Fox_News_Network_Obama_2011_1... 85838 \n",
"53703 ../coverage/2011/Fox_News_Network_Obama_2011_1... 85886 \n",
"53704 ../coverage/2011/Fox_News_Network_Obama_2011_1... 85910 \n",
"53705 ../coverage/2011/Fox_News_Network_Obama_2011_1... 85946 \n",
"53706 ../coverage/2011/Fox_News_Network_Obama_2011_1... 86075 \n",
"74792 ../coverage/2012/Fox_News_Network_Obama_2012_1... 202573 \n",
"74793 ../coverage/2012/Fox_News_Network_Obama_2012_1... 202713 "
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"g = analyzed_segments.groupby(['Network', 'Show'])\n",
"fox_cbsnews = analyzed_segments.loc[g.groups[('Fox', 'CBS EVENING NEWS')]]\n",
"fox_cbsnews"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T17:44:49.381284",
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 1672 of 2759 DOCUMENTS\n",
"\n",
" Fox News Network\n",
"\n",
" July 25, 2011 Monday\n",
"\n",
" SHOW: CBS EVENING NEWS 6:30 PM EST\n",
"\n",
"EVENING NEWS for July 25, 2011, CBS\n",
"\n",
"BYLINE: Bob Schieffer, Norah O`Donnell, Nancy Cordes, Anthony Mason, Jeff Glor,\n",
"Bob Orr, Ben Tracy, Dean Reynolds, Chip Reid\n",
"\n",
"SECTION: NEWS; Domestic\n",
"\n",
"LENGTH: 3491 words\n",
"\n",
"BOB SCHIEFFER, CBS NEWS ANCHOR: Tonight:\n",
"\n",
"With the debt deadline fast approaching, President Obama will address the nation\n",
"as both parties scramble to come up with separate plans to cut the deficit.\n",
"\n",
"The suspect in the Norway massacre claims that other terror cells exist. Jeff\n",
"Glor reports from Oslo. And Bob Orr looks at the home grown terror threat to\n",
"this country.\n",
"\n",
"A windfall for prescription drug users. Ben Tracy says the price is about to\n",
"come way down for top sellers like Lipitor and Plavix.\n",
"\n",
"And combat stress has this vet on the verge of suicide.\n",
"\n",
"(BEGIN VIDEO CLIP)\n",
"\n",
"UNIDENTIFIED MALE: I was this close to pulling the trigger.\n",
"\n",
"(END VIDEO CLIP)\n",
"\n",
"SCHIEFFER: But Chip Reid reports his best friend came to the rescue.\n",
"\n",
"(MUSIC)\n",
"\n",
"ANNOUNCER: This is CBS EVENING NEWS with Scott Pelley.\n",
"\n",
"SCHIEFFER: Good evening. And Scott`s off tonight. I`m Bob Schieffer.\n",
"\n",
"President Obama has asked the networks for time to address the nation on the\n",
"debt crisis tonight. CBS will carry the address and the response by Republican\n",
"Speaker John Boehner at 9:00 p.m. Eastern Time.\n",
"\n",
"The president`s request came after Congress and the White House sank deeper into\n",
"gridlock over how to prevent the government from defaulting on its financial\n",
"obligations. We have three reports tonight.\n",
"\n",
"We began at the White House with Norah O`Donnell -- Norah.\n",
"\n",
"NORAH O`DONELL, CBS NEWS CHIEF WHITE HOUSE CORRESPONDENT: Good evening, Bob.\n",
"\n",
"Tonight, President Obama will address the nation in a rare prime time address,\n",
"only the 7th since taking office. The goal, say his advisors, is to rally the\n",
"American people to urge their legislators to seek compromise.\n",
"\n",
"The president will talk about tonight how there is a legislative stalemate --\n",
"one Republican bill in the House, a Democratic bill in the Senate. And, today,\n",
"the president backed that Democratic bill in the Senate. He called it a\n",
"reasonable compromise.\n",
"\n",
"But, you know, it`s interesting. On that Democratic plan in the Senate, it\n",
"proposes just $2.7 trillion in spending cuts over 10 years. That is far short of\n",
"the president`s original goal of some $4 trillion.\n",
"\n",
"And that Democratic plan would not raise additional tax revenues. That is\n",
"something the president has long backed. It also would not address the long-term\n",
"deficit drivers which, of course, are Medicare and Medicaid.\n",
"\n",
"Now, as for that Republican bill that is in the House, that would offer only a\n",
"short- term increase in the debt ceiling. And the president`s advisors again\n",
"tonight reiterate that the president does not want that kind of deal. They say\n",
"it just kicks this can down the road further -- Bob.\n",
"\n",
"SCHIEFFER: Norah, this was very unusual, as you said for the president to ask\n",
"for this time in primetime. When did they decide to do this?\n",
"\n",
"O`DONNELL: The president`s advisors decided this afternoon that it was a good\n",
"idea for the president to address the American people. This is a last-ditch\n",
"effort by the president to use a huge audience in primetime television to try\n",
"and seek their political goal and their policy goal of a bigger compromise and\n",
"to try and get the people to sort of call in to Capitol Hill and try and get\n",
"something done soon and avert disaster.\n",
"\n",
"SCHIEFFER: OK, Norah.\n",
"\n",
"Well, let`s go up to the other end of Pennsylvania Avenue now. Nancy Cordes is\n",
"at the Capitol with that part of the story -- Nancy.\n",
"\n",
"NANCY CORDES, CBS NEWS CONGRESSIONAL CORRESPONDENT: Bob, good evening. What`s\n",
"prompting all this drama is the fact that talks between Democrats and\n",
"Republicans here on Capitol Hill broke down yesterday.\n",
"\n",
"So, now, the two sides are moving to plan C, pitting two bills against each\n",
"other to see which one wins.\n",
"\n",
"(BEGIN VIDEOTAPE)\n",
"\n",
"CORDES (voice-over): House Speaker John Boehner and Senate Majority Harry Reid\n",
"presented rival plans today after a last-ditch attempt at bipartisan\n",
"negotiations this weekend went nowhere.\n",
"\n",
"SEN. HARRY REID (D-NV), MAJORITY LEADER: It appears to me at this stage the\n",
"Republicans are more interested in trying to embarrass the president than doing\n",
"what`s right for the country.\n",
"\n",
"CORDES: Reid`s Democratic plan would raise the debt ceiling through the end of\n",
"2012, while cutting $2.7 trillion in domestic and defense spending.\n",
"\n",
"REP. JOHN BOEHNER (R-OH), SPEAKER OF THE HOUSE: I believe that the plan is full\n",
"of gimmicks. We`re not making any real changes in the spending structure of our\n",
"government and it doesn`t deal with the biggest drivers of our deficit and our\n",
"debt. And that would be entitlement programs.\n",
"\n",
"CORDES: Boehner`s Republican plan involves a two- step approach. First, raising\n",
"the debt ceiling for about seven months while cutting $1.2 trillion in spending.\n",
"Then, creating a bipartisan commission of six Republicans and six Democrats to\n",
"identify at least $1.8 trillion more in cuts from entitlements and other\n",
"programs, as a condition for raising the debt ceiling again.\n",
"\n",
"BOEHNER: I would call this plan less than perfect. But it does ensure that the\n",
"spending cuts will be greater than the hike in the debt limit.\n",
"\n",
"CORDES: But the president has repeatedly threatened to veto any plan that\n",
"includes a short-term extension of the debt ceiling, arguing it could jeopardize\n",
"the country`s credit rating.\n",
"\n",
"REID: Republicans` short-term plan is a non-starter in the Senate and in the\n",
"White House and certainly the Democrats in the House agree wholeheartedly with\n",
"us.\n",
"\n",
"(END VIDEOTAPE)\n",
"\n",
"CORDES: Both leaders want to hold votes on their respective plans on Wednesday\n",
"but it`s not clear either bill can pass. In the House, Boehner needs to win over\n",
"Republicans who wanted even deeper cuts. And in the Senate, Leader Reid would\n",
"need to win over all of his Democrats plus a few Republicans as well.\n",
"\n",
"And in this acrimonious environment, Bob, that does not look very likely.\n",
"\n",
"SCHIEFFER: OK, Nancy. Well, we`ll see you later tonight when the president\n",
"speaks.\n",
"\n",
"As this gridlock tightened today, the financial markets dropped suddenly as many\n",
"had expected. But they did rebound somewhat. The Dow was still down 88 points\n",
"though for the day.\n",
"\n",
"Here`s Anthony Mason now with more on that.\n",
"\n",
"(BEGIN VIDEOTAPE)\n",
"\n",
"ANTHONY MASON, CBS NEWS SENIOR BUSINESS CORRESPONDENT (voice-over): Wall Street\n",
"hasn`t panicked yet, but the world is watching as Britain`s business secretary\n",
"put it --\n",
"\n",
"VINCE CABLE, BRITISH BUSINESS SECRETARY: The biggest threat to the world\n",
"financial system comes from a few right-wing nutters in the American Congress.\n",
"\n",
"MASON: But investors in the debt insurance market are measuring the risk of a\n",
"U.S. default at less than 1 percent. Bankrupt Greece by comparison is at 16\n",
"percent. And the U.S. may have just bought itself more time.\n",
"\n",
"(on camera): The deadline really isn`t August 2nd.\n",
"\n",
"UNIDENTIFIED MALE: In our view, it`s not. No.\n",
"\n",
"MASON (voice-over): Larry Kanor (ph), head of research at Barclays Capital says\n",
"the Treasury faces a big $22 billion Social Security payment on August 3rd. But\n",
"recent tax revenues have come in $14 billion higher than expected.\n",
"\n",
"UNIDENTIFED MALE: In other words, the Treasury on August 2nd is going to have\n",
"more cash on hand than what it looked like before. And therefore, they`ll be\n",
"able to make that big Social Security payment on August 3rd.\n",
"\n",
"MASON: But at most, that gives the government one more week.\n",
"\n",
"(on camera): Can they go right up to the 11th hour here?\n",
"\n",
"RICK MISHKIN, FORME FED GOVERNOR: There`s a big cost going to the 11th hour\n",
"because you start to spook the markets.\n",
"\n",
"MASON (voice-over): Former Fed Governor Rick Mishkin points out when Congress at\n",
"first rejected the TARP financial rescue package in 2008, the Dow plummeted\n",
"nearly 800 points that day.\n",
"\n",
"MISHKIN: Boy, was it a disaster. When you go to the last minute and you`re\n",
"basically saying, you know, don`t assume that we have responsible adults --\n",
"well, that actually has huge, huge costs. And we`ve seen this happen before. And\n",
"let`s hope it doesn`t happen now.\n",
"\n",
"(END VIDEOTAPE)\n",
"\n",
"MASON: While economists say the risk of a default is remote, the risk of a new\n",
"recession is very real. If America has to slash its spending to stay under the\n",
"debt ceiling, the recovery could be over and quickly -- Bob.\n",
"\n",
"SCHIEFFER: Thank you very much, Anthony.\n",
"\n",
"The accused mass killer in the Oslo tragedy told authorities he was trying to\n",
"call attention to what he called the threat of a Muslim takeover of Europe.\n",
"Today, in the streets of Oslo, there was an enormous outpouring of grief and\n",
"sympathy for the victims. And the killer`s own father said he wished his son had\n",
"committed suicide.\n",
"\n",
"Again tonight, Jeff Glor is in Oslo.\n",
"\n",
"(BEGIN VIDEOTAPE)\n",
"\n",
"JEFF GLOR, CBS NEWS CORRESPONDENT (voice-over): Anders Behring Breivik is\n",
"apparently changing his story. After first insisting that last Friday`s massacre\n",
"was his work alone, police say he hinted that two cells of extremists worked\n",
"with him, both capable of more attacks. He was denied the open court hearing he\n",
"wanted and ordered held for at least eight weeks -- the first four in solitary.\n",
"\n",
"While that may give him plenty of time to think, there is zero indication this\n",
"32-year-old, a self-proclaimed knight, is about to express any remorse. His\n",
"radical propaganda video railing against immigrants and Muslims is chilling. His\n",
"1,500-page manifesto indicating he began planning his attacks all the way back\n",
"in 2002 is exhaustedly detailed, insisting he`s not guilty of any crime because\n",
"he was needed to send Europe back to the days of white Christian domination.\n",
"\n",
"From France, Breivik`s father, who hasn`t spoken to his son in years, said he\n",
"wished Breivik could just killed himself after the onslaught.\n",
"\n",
"The bombing of government buildings in Oslo on Friday afternoon left eight dead.\n",
"\n",
"(SCREAMING)\n",
"\n",
"GLOR: Ninety minutes later, a youth camp ground shooting spree that lasted for\n",
"an hour and a half.\n",
"\n",
"Officials today revised down the number of dead to 68, but it`s still the worst\n",
"shooting by a single gunman in modern times.\n",
"\n",
"Now, this country of 5 million comes together to say goodbye.\n",
"\n",
"(on camera): There was this enormous gathering in downtown Oslo today. All\n",
"prompted at first by a single user on Facebook. There was supposed to be an\n",
"official march through the streets but police had to cancel that because so many\n",
"people showed up they couldn`t handle the overflow.\n",
"\n",
"(voice-over): The total crowd: 200,000, many carrying roses in remembrance.\n",
"\n",
"(END VIDEOTAPE)\n",
"\n",
"GLOR: Norway has made very clear they would like to get beyond this and not give\n",
"Breivik any more of a platform -- Bob.\n",
"\n",
"SCHIEFFER: So, Jeff, what about punishment for this man?\n",
"\n",
"GLOR: Well, the maximum jail term that a judge can impose here in Norway is 21\n",
"years. And that`s got a lot of attention here.\n",
"\n",
"However, the state can potentially add to that in five-year increments if that\n",
"person is deemed a threat to society. And we should say Breivik has said he\n",
"expects to spend the rest of his life in prison.\n",
"\n",
"SCHIEFFER: And no death penalty, right?\n",
"\n",
"GLOR: No death penalty here in Norway.\n",
"\n",
"SCHIEFFER: All right. Thank you very much, Jeff -- Jeff Glor in Oslo.\n",
"\n",
"The attack was a reminder that terrorism is not the sole province of Muslim\n",
"extremists.\n",
"\n",
"For more on the domestic terror threat, we turn to Bob Orr in Washington.\n",
"\n",
"(BEGIN VIDEOTAPE)\n",
"\n",
"BOB ORR, CBS NEWS HOMELAND SECURITY CORRESPONDENT (voice-over): The attacks in\n",
"Norway underscore a threat U.S. officials have been worrying about since Timothy\n",
"McVeigh and Terry Nichols bombed an Oklahoma City federal building.\n",
"\n",
"Domestic terrorists present a lethal and often invisible danger.\n",
"\n",
"The most dangerous is the lone wolf who evades detection as he maps his plot.\n",
"Law enforcement knew little about James Von Brunn`s white supremacist writings,\n",
"until after he shot up the Holocaust Museum and killed a security guard in 2009.\n",
"\n",
"Unabomber Ted Kaczynski lived anonymously for years in a Montana cabin as he\n",
"mailed out bombs and his leftist manifesto.\n",
"\n",
"Domestic radical groups also span the political spectrum.\n",
"\n",
"Four years ago, environmental terrorists torched an upscale Seattle\n",
"neighborhood.\n",
"\n",
"And in 2010, nine members of Michigan Hutaree militia were charged with\n",
"conspiring to kill cops.\n",
"\n",
"So-called right wing militants outnumber those on the left.\n",
"\n",
"But 10 years after 9/11, the greatest homegrown threat still comes from Islamist\n",
"radicals trained or inspired by al Qaeda-linked terrorists.\n",
"\n",
"Nidal Hasan inspired by Anwar al-Awlaki killed 13 soldiers at Fort Hood.\n",
"\n",
"Najibullah Zazi, schooled by al Qaeda bomb makers, plotted to blow up New York`s\n",
"subways.\n",
"\n",
"And Faisal Shahzad, aided by the Pakistani Taliban, drove an SUV bomb into the\n",
"heart of Times Square.\n",
"\n",
"In all, more than four dozen U.S. citizens have been charged in various jihadist\n",
"plots in the past decade.\n",
"\n",
"(on camera): Now, some critics say, in light of what happened in Norway, the\n",
"U.S. should now focus on right wing radicals. But homeland security officials\n",
"tell us they`re meeting the threat exactly where it is.\n",
"\n",
"And, for now, the emphasis remains, Bob, on al Qaeda.\n",
"\n",
"SCHIEFFER: OK. Bob Orr in Washington.\n",
"\n",
"For millions of Americans, the cost of prescription medicine is about to plummet\n",
"but not the price of airline tickets even though the government`s no longer\n",
"collecting taxes on them. So, who is pocketing the cash? Guess.\n",
"\n",
"And a new approach is helping veterans put the war behind them, canine therapy\n",
"-- when the CBS EVENING NEWS continues.\n",
"\n",
"SCHIEFFER: Here is rare good news on the price of drugs. The patents on six of\n",
"the 10 best-selling medications in the United States will expire this year. When\n",
"that happens, that means the drugs will be available in generic form and they`ll\n",
"be a lot cheaper.\n",
"\n",
"Here`s Ben Tracy.\n",
"\n",
"(BEGIN VIDEOTAPE)\n",
"\n",
"UNIDENTIFIED FEMALE: Your medication is....\n",
"\n",
"BEN TRACY, CBS NEWS CORRESPONDENT: Marvelene Bickerstaff (ph) takes nine\n",
"medications every day, and it is not cheap.\n",
"\n",
"UNIDENTIFIED FEMALE: At least $200 a month. And that`s why I still work, because\n",
"I`m 74 years old now.\n",
"\n",
"TRACY: Her diabetes drug Byetta cost $75 a month. So, she begs her doctor for\n",
"samples to cut costs.\n",
"\n",
"Over the next decade, patents on dozens of brand name drugs are expiring. That\n",
"clears the way for generic versions which work just as well and cost much less.\n",
"\n",
"UNIDENTIFIED MALE: Now, I`m also taking Lipitor.\n",
"\n",
"TRACY: Two of the biggest to go generic, cholesterol drug Lipitor in November\n",
"and blood thinner Plavix in May 2012. Four-point-three million Americans take\n",
"Lipitor, 1.4 million are on Plavix.\n",
"\n",
"NICKY RASMI-SHAMSI, PHARMACIST: I`ve seen people that couldn`t afford the brand\n",
"name. Their insurance doesn`t cover it or the co-pay was way too high. And they\n",
"just had to, you know, either go without or take a medication that wasn`t\n",
"comparable.\n",
"\n",
"TRACY: Generic drugs cost 20 percent to 80 percent less than brand names. When\n",
"heart burn drug Protonix went generic the price dropped from $170 per month to\n",
"just $16.\n",
"\n",
"NARRATOR: Plavix helps protect people with ACS --\n",
"\n",
"TRACY: By 2016, dozens of popular drugs with $255 billion in global sales will\n",
"go generic. Pharmaceutical company profits are expected to plunge.\n",
"\n",
"(on camera): It`s hard to feel too sorry for big drug companies but a portion of\n",
"their massive profits does go back into creating new drugs. With less money\n",
"coming in, they could cut back on innovation and jobs.\n",
"\n",
"(voice-over): But for Marvelene Bickerstaff, the savings could be $50 a month.\n",
"\n",
"UNIDENTIFIED FEMALE: That`s much money for two or three more weeks if you`re\n",
"still working.\n",
"\n",
"TRACY: And generic drugs save the U.S. health care system much more, an\n",
"estimated $1 billion every three days.\n",
"\n",
"Ben Tracy, CBS News, Los Angeles.\n",
"\n",
"(END VIDEOTAPE)\n",
"\n",
"SCHIEFFER: You might think that passengers would save money if the government\n",
"stopped collecting taxes on airline tickets. Next, why it didn`t happen?\n",
"\n",
"SCHIEFFER: The FAA began furloughing people Saturday because Congress has been\n",
"unable to agree on a plan to fund the agency. Among those laid off are the\n",
"workers who collect the federal taxes on airline tickets. So, with no taxes\n",
"added on, does that mean cheaper tickets?\n",
"\n",
"Well, for most airlines, incredibly, the answer is not just yet.\n",
"\n",
"Dean Reynolds reports.\n",
"\n",
"(BEGIN VIDEOTAPE)\n",
"\n",
"DEAN REYNOLDS, CBS NEWS NATIONAL CORRESPONDENT (voice-over): The airlines had a\n",
"decision to make: lower the price of their ticket, the same amount as the taxes\n",
"they`re no longer having to pay, or keep the price the same and pocket the\n",
"difference.\n",
"\n",
"It turns out this was not a close call. Only three American carriers are\n",
"lowering their prices accordingly. The rest are collecting on a windfall of $200\n",
"million a week from the more than 22 extra dollars they`ll pocket on every $200\n",
"base price ticket.\n",
"\n",
"The news was not well received at O`Hare International.\n",
"\n",
"UNIDENTIFIED MALE: I think it`s ridiculous.\n",
"\n",
"UNIDENTIFIED MALE: If it isn`t illegal, it`s quite unethical.\n",
"\n",
"REYNOLDS: Transportation Secretary Ray LaHood doesn`t think much of it either.\n",
"\n",
"RAY LAHOOD, TRANSPORTATION SECRETARY: In these hard economic times, they should\n",
"be looking at an opportunity to help customers out by making sure that the\n",
"tickets reflect the fact that they`re not paying the tax. That they`re not\n",
"charged the tax.\n",
"\n",
"REYNOLDS: The airlines explain they`re just matching the pricing policies of\n",
"their competitors.\n",
"\n",
"(on camera): This latest move by the airlines to increase their revenues comes\n",
"as the Transportation Department is asking them to provide more information\n",
"about all the fees they impose on travelers.\n",
"\n",
"(voice-over): Those extra fees to check bags, use a pillow or don a headset,\n",
"fees that now allow the airlines to keep from raising their base fairs and\n",
"paying the higher taxes that might follow.\n",
"\n",
"Last year, the airlines collected $3.4 billion in baggage fees alone.\n",
"\n",
"For passengers, that seems like a heavy lift.\n",
"\n",
"UNIDENTIFIED FEMALE: It`s kind of a rip-off considering we had to pay a lot for\n",
"the flights already. We could use a break too, you know?\n",
"\n",
"REYNOLDS: But if it`s up to the airlines, they`re not going to get one.\n",
"\n",
"Dean Reynolds, CBS news, Chicago.\n",
"\n",
"(END VIDEOTAPE)\n",
"\n",
"SCHIEFFER: Well, there will be an NFL season this year. Player reps unanimously\n",
"approved a labor deal with owners today splitting $9 billion in annual revenue\n",
"and ending a four-and-a-half month lockout. Teams will start opening training\n",
"camps on Wednesday.\n",
"\n",
"Pit bulls don`t have the best reputation, but that may change when you hear what\n",
"one did for a troubled veteran when we come back.\n",
"\n",
"SCHIEFFER: For too many veterans, the battles don`t in when they come home for.\n",
"But we have a story tonight about one vet who discovered peace was a lot closer\n",
"than he thought. Now, he`s helping others find it, too.\n",
"\n",
"Here`s Chip Reid.\n",
"\n",
"(BEGIN VIDEOTAPE)\n",
"\n",
"CHIP REID, CBS NEWS CORRESPONDENT (voice-over): Dave Sharpe calls his pit bull\n",
"Cheyenne his savior and that`s no exaggeration. When she was just a puppy, she\n",
"saved his life.\n",
"\n",
"Sharpe served with the U.S. Air Force security forces in Saudi Arabia and\n",
"Pakistan. After two near-death experiences, he returned home with severe\n",
"post-traumatic disorder.\n",
"\n",
"DAVE SHARPE, VETERAN: Before I met her, I was a wreck. I was out of control. I\n",
"would start fights for no reason.\n",
"\n",
"REID: Deeply depressed and filled with rage, he decided to end his misery with\n",
"his pistol.\n",
"\n",
"SHARPE: Cocked it back, put it right in my mouth and I sat there and cried for\n",
"about a minute or two. And I was this close to pulling the trigger.\n",
"\n",
"REID: That`s when Cheyenne, who was then six months old, came to his rescue.\n",
"\n",
"SHARPE: She came up behind me and she licked my ear. And she gave me this look\n",
"of, \"What are you doing, man?\" Like, \"Who`s going to let me sleep in your bed?\n",
"Listen, if you take care of me, I`ll take care of you.\"\n",
"\n",
"Good girl.\n",
"\n",
"REID: Sharpe realized at that moment, he had something to live for. But he\n",
"didn`t stop there. He decided that what saved him might save others like him.\n",
"\n",
"So, he started Pets2Vets, now known as P2V, an organization that has put dozens\n",
"injured veterans together with their own four-legged saviors -- dogs and cats.\n",
"P2V makes sure it`s a good match, provides training -- even pays for the pet`s\n",
"health insurance.\n",
"\n",
"(on camera): The pets come from a shelter in Washington, D.C., so everyone comes\n",
"out a winner. The veteran gets a badly needed companion and these guys get a new\n",
"lease on life.\n",
"\n",
"(voice-over): Marine Sergeant Jimmy Childers lost a leg to a roadside bomb in\n",
"Afghanistan that also left him with traumatic brain injury. He was prone to\n",
"angry outbursts -- until P2V paired him with Tidus\n",
"\n",
"JIMMY CHILDERS, VETERAN: Just his look gives me all the answers that I want to\n",
"calm me down.\n",
"\n",
"REID: Childers looked into getting a dog trained to work with the disabled, but\n",
"was told it would take more than a year. Anyway, he says, that`s not what he\n",
"needed.\n",
"\n",
"CHILDERS: I don`t need a dog to grab my prosthetic leg. I don`t need that.\n",
"\n",
"REID: Tidus gives him what he does need.\n",
"\n",
"CHILDERS: He gives me back unconditional love, no judgment.\n",
"\n",
"REID: The demand is never-ending on both sides\n",
"\n",
"SHARPE: There`s 18 veterans that commit suicide every day in this country. And\n",
"there`s one animal that`s put to sleep every eight seconds.\n",
"\n",
"REID: Dave Sharpe puts the two together to save each others` lives.\n",
"\n",
"Chip Reid, CBS News, Washington.\n",
"\n",
"(END VIDEOTAPE)\n",
"\n",
"SCHIEFFER: Dogs are the best. For Scott and all of us at CBS News, I`m Bob\n",
"Schieffer. We`ll see you at 9:00 Eastern Time for President Obama`s address and\n",
"a Republican response from House Speaker John Boehner.\n",
"\n",
"Good night.\n",
"\n",
"LOAD-DATE: July 26, 2011\n",
"\n",
"LANGUAGE: ENGLISH\n",
"\n",
"TRANSCRIPT: 072501cb.401\n",
"\n",
"DOCUMENT-TYPE: Show\n",
"\n",
"PUBLICATION-TYPE: Transcript\n",
"\n",
" Copyright 2011 Fox News Network LLC\n",
" All Rights Reserved\n",
"\n"
]
}
],
"source": [
"print(mt.first(t.text for t in iterate_transcripts([fox_cbsnews.iloc[0]['Filename']]) if get_show(t) == 'CBS EVENING NEWS'))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"### Cross-validation"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Let's apply this analyzer to the CV set to see how well it does."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def sentiment_row(text):\n",
" sentiment = analyzer.analyze(text)\n",
" return pd.Series({'Analyzer classification': sentiment.classification == 'pos', 'p_pos': sentiment.p_pos, 'p_neg': sentiment.p_neg})"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:00:39.769873",
"start_time": "2017-04-03T14:00:38.830858-04:00"
},
"collapsed": false
},
"outputs": [],
"source": [
"cv_segments_evaluation = pd.DataFrame(cv_segments['Speech'].apply(sentiment_row)).join(cv_segments['Rating'])\n",
"cv_segments_evaluation['Manual classification'] = cv_segments_evaluation['Rating'] > 2\n",
"cv_segments_evaluation['Classifications match'] = cv_segments_evaluation['Analyzer classification'] == cv_segments_evaluation['Manual classification']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nearly all the segments are rated positive by the analyzer, a marked difference from my manual ratings. (To be fair, I can't comment on which set of ratings is more accurate!)"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:00:57.574909",
"start_time": "2017-04-03T14:00:57.150285-04:00"
},
"collapsed": false
},
"outputs": [
{
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" #T_7cf3614a_1897_11e7_8836_000129a7b193row94_col3 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row94_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row94_col5 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row95_col0 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row95_col1 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row95_col2 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row95_col3 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row95_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row95_col5 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row96_col0 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row96_col1 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row96_col2 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row96_col3 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row96_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row96_col5 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row97_col0 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row97_col1 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row97_col2 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row97_col3 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row97_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row97_col5 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row98_col0 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row98_col1 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row98_col2 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row98_col3 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row98_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row98_col5 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row99_col0 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row99_col1 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row99_col2 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row99_col3 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row99_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_7cf3614a_1897_11e7_8836_000129a7b193row99_col5 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" </style>\n",
"\n",
" <table id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" Analyzer classification\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" p_neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" p_pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col3\" colspan=1>\n",
" Rating\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col4\" colspan=1>\n",
" Manual classification\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col5\" colspan=1>\n",
" Classifications match\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" 2.09035e-29\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row0_col3\"\n",
" class=\"data row0 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row0_col4\"\n",
" class=\"data row0 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row0_col5\"\n",
" class=\"data row0 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" 1.7844e-11\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row1_col3\"\n",
" class=\"data row1 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row1_col4\"\n",
" class=\"data row1 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row1_col5\"\n",
" class=\"data row1 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" 0.0905824\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 0.909418\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row2_col3\"\n",
" class=\"data row2 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row2_col4\"\n",
" class=\"data row2 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row2_col5\"\n",
" class=\"data row2 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" 0.000128476\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" 0.999872\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row3_col3\"\n",
" class=\"data row3 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row3_col4\"\n",
" class=\"data row3 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row3_col5\"\n",
" class=\"data row3 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" 4\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" 0.309431\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" 0.690569\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row4_col3\"\n",
" class=\"data row4 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row4_col4\"\n",
" class=\"data row4 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row4_col5\"\n",
" class=\"data row4 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" 5\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row5_col0\"\n",
" class=\"data row5 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
" 0.00048046\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" 0.99952\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row5_col3\"\n",
" class=\"data row5 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row5_col4\"\n",
" class=\"data row5 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row5_col5\"\n",
" class=\"data row5 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" 6\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" 3.45971e-21\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row6_col3\"\n",
" class=\"data row6 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row6_col4\"\n",
" class=\"data row6 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row6_col5\"\n",
" class=\"data row6 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" 7\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" 3.29064e-06\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" 0.999997\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row7_col3\"\n",
" class=\"data row7 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row7_col4\"\n",
" class=\"data row7 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row7_col5\"\n",
" class=\"data row7 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row8\" rowspan=1>\n",
" 8\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row8_col0\"\n",
" class=\"data row8 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row8_col1\"\n",
" class=\"data row8 col1\" >\n",
" 0.0452848\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row8_col2\"\n",
" class=\"data row8 col2\" >\n",
" 0.954715\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row8_col3\"\n",
" class=\"data row8 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row8_col4\"\n",
" class=\"data row8 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row8_col5\"\n",
" class=\"data row8 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row9\" rowspan=1>\n",
" 9\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row9_col0\"\n",
" class=\"data row9 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row9_col1\"\n",
" class=\"data row9 col1\" >\n",
" 3.28019e-08\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row9_col2\"\n",
" class=\"data row9 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row9_col3\"\n",
" class=\"data row9 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row9_col4\"\n",
" class=\"data row9 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row9_col5\"\n",
" class=\"data row9 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row10\" rowspan=1>\n",
" 10\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row10_col0\"\n",
" class=\"data row10 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row10_col1\"\n",
" class=\"data row10 col1\" >\n",
" 3.01083e-08\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row10_col2\"\n",
" class=\"data row10 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row10_col3\"\n",
" class=\"data row10 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row10_col4\"\n",
" class=\"data row10 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row10_col5\"\n",
" class=\"data row10 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row11\" rowspan=1>\n",
" 11\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row11_col0\"\n",
" class=\"data row11 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row11_col1\"\n",
" class=\"data row11 col1\" >\n",
" 0.000593795\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row11_col2\"\n",
" class=\"data row11 col2\" >\n",
" 0.999406\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row11_col3\"\n",
" class=\"data row11 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row11_col4\"\n",
" class=\"data row11 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row11_col5\"\n",
" class=\"data row11 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row12\" rowspan=1>\n",
" 12\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row12_col0\"\n",
" class=\"data row12 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row12_col1\"\n",
" class=\"data row12 col1\" >\n",
" 1.06344e-11\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row12_col2\"\n",
" class=\"data row12 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row12_col3\"\n",
" class=\"data row12 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row12_col4\"\n",
" class=\"data row12 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row12_col5\"\n",
" class=\"data row12 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row13\" rowspan=1>\n",
" 13\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row13_col0\"\n",
" class=\"data row13 col0\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row13_col1\"\n",
" class=\"data row13 col1\" >\n",
" 0.998534\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row13_col2\"\n",
" class=\"data row13 col2\" >\n",
" 0.00146579\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row13_col3\"\n",
" class=\"data row13 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row13_col4\"\n",
" class=\"data row13 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row13_col5\"\n",
" class=\"data row13 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row14\" rowspan=1>\n",
" 14\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row14_col0\"\n",
" class=\"data row14 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row14_col1\"\n",
" class=\"data row14 col1\" >\n",
" 0.00190729\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row14_col2\"\n",
" class=\"data row14 col2\" >\n",
" 0.998093\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row14_col3\"\n",
" class=\"data row14 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row14_col4\"\n",
" class=\"data row14 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row14_col5\"\n",
" class=\"data row14 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row15\" rowspan=1>\n",
" 15\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row15_col0\"\n",
" class=\"data row15 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row15_col1\"\n",
" class=\"data row15 col1\" >\n",
" 5.7126e-08\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row15_col2\"\n",
" class=\"data row15 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row15_col3\"\n",
" class=\"data row15 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row15_col4\"\n",
" class=\"data row15 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row15_col5\"\n",
" class=\"data row15 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row16\" rowspan=1>\n",
" 16\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row16_col0\"\n",
" class=\"data row16 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row16_col1\"\n",
" class=\"data row16 col1\" >\n",
" 2.07074e-10\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row16_col2\"\n",
" class=\"data row16 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row16_col3\"\n",
" class=\"data row16 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row16_col4\"\n",
" class=\"data row16 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row16_col5\"\n",
" class=\"data row16 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row17\" rowspan=1>\n",
" 17\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row17_col0\"\n",
" class=\"data row17 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row17_col1\"\n",
" class=\"data row17 col1\" >\n",
" 0.186312\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row17_col2\"\n",
" class=\"data row17 col2\" >\n",
" 0.813688\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row17_col3\"\n",
" class=\"data row17 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row17_col4\"\n",
" class=\"data row17 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row17_col5\"\n",
" class=\"data row17 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row18\" rowspan=1>\n",
" 18\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row18_col0\"\n",
" class=\"data row18 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row18_col1\"\n",
" class=\"data row18 col1\" >\n",
" 2.64364e-10\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row18_col2\"\n",
" class=\"data row18 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row18_col3\"\n",
" class=\"data row18 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row18_col4\"\n",
" class=\"data row18 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row18_col5\"\n",
" class=\"data row18 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row19\" rowspan=1>\n",
" 19\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row19_col0\"\n",
" class=\"data row19 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row19_col1\"\n",
" class=\"data row19 col1\" >\n",
" 0.200592\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row19_col2\"\n",
" class=\"data row19 col2\" >\n",
" 0.799408\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row19_col3\"\n",
" class=\"data row19 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row19_col4\"\n",
" class=\"data row19 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row19_col5\"\n",
" class=\"data row19 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row20\" rowspan=1>\n",
" 20\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row20_col0\"\n",
" class=\"data row20 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row20_col1\"\n",
" class=\"data row20 col1\" >\n",
" 0.49884\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row20_col2\"\n",
" class=\"data row20 col2\" >\n",
" 0.50116\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row20_col3\"\n",
" class=\"data row20 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row20_col4\"\n",
" class=\"data row20 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row20_col5\"\n",
" class=\"data row20 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row21\" rowspan=1>\n",
" 21\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row21_col0\"\n",
" class=\"data row21 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row21_col1\"\n",
" class=\"data row21 col1\" >\n",
" 4.26741e-10\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row21_col2\"\n",
" class=\"data row21 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row21_col3\"\n",
" class=\"data row21 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row21_col4\"\n",
" class=\"data row21 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row21_col5\"\n",
" class=\"data row21 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row22\" rowspan=1>\n",
" 22\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row22_col0\"\n",
" class=\"data row22 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row22_col1\"\n",
" class=\"data row22 col1\" >\n",
" 4.76278e-12\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row22_col2\"\n",
" class=\"data row22 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row22_col3\"\n",
" class=\"data row22 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row22_col4\"\n",
" class=\"data row22 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row22_col5\"\n",
" class=\"data row22 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row23\" rowspan=1>\n",
" 23\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row23_col0\"\n",
" class=\"data row23 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row23_col1\"\n",
" class=\"data row23 col1\" >\n",
" 1.37244e-21\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row23_col2\"\n",
" class=\"data row23 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row23_col3\"\n",
" class=\"data row23 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row23_col4\"\n",
" class=\"data row23 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row23_col5\"\n",
" class=\"data row23 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row24\" rowspan=1>\n",
" 24\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row24_col0\"\n",
" class=\"data row24 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row24_col1\"\n",
" class=\"data row24 col1\" >\n",
" 9.57743e-16\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row24_col2\"\n",
" class=\"data row24 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row24_col3\"\n",
" class=\"data row24 col3\" >\n",
" 4\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row24_col4\"\n",
" class=\"data row24 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row24_col5\"\n",
" class=\"data row24 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row25\" rowspan=1>\n",
" 25\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row25_col0\"\n",
" class=\"data row25 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row25_col1\"\n",
" class=\"data row25 col1\" >\n",
" 3.23516e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row25_col2\"\n",
" class=\"data row25 col2\" >\n",
" 0.999968\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row25_col3\"\n",
" class=\"data row25 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row25_col4\"\n",
" class=\"data row25 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row25_col5\"\n",
" class=\"data row25 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row26\" rowspan=1>\n",
" 26\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row26_col0\"\n",
" class=\"data row26 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row26_col1\"\n",
" class=\"data row26 col1\" >\n",
" 8.96275e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row26_col2\"\n",
" class=\"data row26 col2\" >\n",
" 0.99991\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row26_col3\"\n",
" class=\"data row26 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row26_col4\"\n",
" class=\"data row26 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row26_col5\"\n",
" class=\"data row26 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row27\" rowspan=1>\n",
" 27\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row27_col0\"\n",
" class=\"data row27 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row27_col1\"\n",
" class=\"data row27 col1\" >\n",
" 0.0194242\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row27_col2\"\n",
" class=\"data row27 col2\" >\n",
" 0.980576\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row27_col3\"\n",
" class=\"data row27 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row27_col4\"\n",
" class=\"data row27 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row27_col5\"\n",
" class=\"data row27 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row28\" rowspan=1>\n",
" 28\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row28_col0\"\n",
" class=\"data row28 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row28_col1\"\n",
" class=\"data row28 col1\" >\n",
" 2.56311e-18\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row28_col2\"\n",
" class=\"data row28 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row28_col3\"\n",
" class=\"data row28 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row28_col4\"\n",
" class=\"data row28 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row28_col5\"\n",
" class=\"data row28 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row29\" rowspan=1>\n",
" 29\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row29_col0\"\n",
" class=\"data row29 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row29_col1\"\n",
" class=\"data row29 col1\" >\n",
" 4.76221e-11\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row29_col2\"\n",
" class=\"data row29 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row29_col3\"\n",
" class=\"data row29 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row29_col4\"\n",
" class=\"data row29 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row29_col5\"\n",
" class=\"data row29 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row30\" rowspan=1>\n",
" 30\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row30_col0\"\n",
" class=\"data row30 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row30_col1\"\n",
" class=\"data row30 col1\" >\n",
" 0.000140534\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row30_col2\"\n",
" class=\"data row30 col2\" >\n",
" 0.999859\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row30_col3\"\n",
" class=\"data row30 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row30_col4\"\n",
" class=\"data row30 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row30_col5\"\n",
" class=\"data row30 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row31\" rowspan=1>\n",
" 31\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row31_col0\"\n",
" class=\"data row31 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row31_col1\"\n",
" class=\"data row31 col1\" >\n",
" 3.68312e-10\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row31_col2\"\n",
" class=\"data row31 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row31_col3\"\n",
" class=\"data row31 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row31_col4\"\n",
" class=\"data row31 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row31_col5\"\n",
" class=\"data row31 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row32\" rowspan=1>\n",
" 32\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row32_col0\"\n",
" class=\"data row32 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row32_col1\"\n",
" class=\"data row32 col1\" >\n",
" 0.0214279\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row32_col2\"\n",
" class=\"data row32 col2\" >\n",
" 0.978572\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row32_col3\"\n",
" class=\"data row32 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row32_col4\"\n",
" class=\"data row32 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row32_col5\"\n",
" class=\"data row32 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row33\" rowspan=1>\n",
" 33\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row33_col0\"\n",
" class=\"data row33 col0\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row33_col1\"\n",
" class=\"data row33 col1\" >\n",
" 0.696656\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row33_col2\"\n",
" class=\"data row33 col2\" >\n",
" 0.303344\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row33_col3\"\n",
" class=\"data row33 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row33_col4\"\n",
" class=\"data row33 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row33_col5\"\n",
" class=\"data row33 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row34\" rowspan=1>\n",
" 34\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row34_col0\"\n",
" class=\"data row34 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row34_col1\"\n",
" class=\"data row34 col1\" >\n",
" 6.71594e-10\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row34_col2\"\n",
" class=\"data row34 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row34_col3\"\n",
" class=\"data row34 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row34_col4\"\n",
" class=\"data row34 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row34_col5\"\n",
" class=\"data row34 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row35\" rowspan=1>\n",
" 35\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row35_col0\"\n",
" class=\"data row35 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row35_col1\"\n",
" class=\"data row35 col1\" >\n",
" 0.0729697\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row35_col2\"\n",
" class=\"data row35 col2\" >\n",
" 0.92703\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row35_col3\"\n",
" class=\"data row35 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row35_col4\"\n",
" class=\"data row35 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row35_col5\"\n",
" class=\"data row35 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row36\" rowspan=1>\n",
" 36\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row36_col0\"\n",
" class=\"data row36 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row36_col1\"\n",
" class=\"data row36 col1\" >\n",
" 0.00339256\n",
" \n",
" \n",
" \n",
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" class=\"data row36 col2\" >\n",
" 0.996607\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row36_col3\"\n",
" class=\"data row36 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row36_col4\"\n",
" class=\"data row36 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row36_col5\"\n",
" class=\"data row36 col5\" >\n",
" False\n",
" \n",
" \n",
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" \n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
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" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row37_col0\"\n",
" class=\"data row37 col0\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row37_col1\"\n",
" class=\"data row37 col1\" >\n",
" 0.000179471\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row37_col2\"\n",
" class=\"data row37 col2\" >\n",
" 0.999821\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row37_col3\"\n",
" class=\"data row37 col3\" >\n",
" 2\n",
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" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row37_col4\"\n",
" class=\"data row37 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row37_col5\"\n",
" class=\"data row37 col5\" >\n",
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" \n",
" \n",
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" \n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
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" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row38_col0\"\n",
" class=\"data row38 col0\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row38_col1\"\n",
" class=\"data row38 col1\" >\n",
" 7.92432e-11\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row38_col2\"\n",
" class=\"data row38 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row38_col3\"\n",
" class=\"data row38 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row38_col4\"\n",
" class=\"data row38 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row38_col5\"\n",
" class=\"data row38 col5\" >\n",
" False\n",
" \n",
" \n",
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" \n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row39\" rowspan=1>\n",
" 39\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row39_col0\"\n",
" class=\"data row39 col0\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row39_col1\"\n",
" class=\"data row39 col1\" >\n",
" 0.678021\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row39_col2\"\n",
" class=\"data row39 col2\" >\n",
" 0.321979\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row39_col3\"\n",
" class=\"data row39 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row39_col4\"\n",
" class=\"data row39 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row39_col5\"\n",
" class=\"data row39 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row40\" rowspan=1>\n",
" 40\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row40_col0\"\n",
" class=\"data row40 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row40_col1\"\n",
" class=\"data row40 col1\" >\n",
" 7.09687e-09\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row40_col2\"\n",
" class=\"data row40 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row40_col3\"\n",
" class=\"data row40 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row40_col4\"\n",
" class=\"data row40 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row40_col5\"\n",
" class=\"data row40 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row41\" rowspan=1>\n",
" 41\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row41_col0\"\n",
" class=\"data row41 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row41_col1\"\n",
" class=\"data row41 col1\" >\n",
" 0.0391278\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row41_col2\"\n",
" class=\"data row41 col2\" >\n",
" 0.960872\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row41_col3\"\n",
" class=\"data row41 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row41_col4\"\n",
" class=\"data row41 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row41_col5\"\n",
" class=\"data row41 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row42\" rowspan=1>\n",
" 42\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row42_col0\"\n",
" class=\"data row42 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row42_col1\"\n",
" class=\"data row42 col1\" >\n",
" 1.77272e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row42_col2\"\n",
" class=\"data row42 col2\" >\n",
" 0.999982\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row42_col3\"\n",
" class=\"data row42 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row42_col4\"\n",
" class=\"data row42 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row42_col5\"\n",
" class=\"data row42 col5\" >\n",
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" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row43\" rowspan=1>\n",
" 43\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row43_col0\"\n",
" class=\"data row43 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row43_col1\"\n",
" class=\"data row43 col1\" >\n",
" 1.38598e-06\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row43_col2\"\n",
" class=\"data row43 col2\" >\n",
" 0.999999\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row43_col3\"\n",
" class=\"data row43 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row43_col4\"\n",
" class=\"data row43 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row43_col5\"\n",
" class=\"data row43 col5\" >\n",
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" \n",
" \n",
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" \n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row44\" rowspan=1>\n",
" 44\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row44_col0\"\n",
" class=\"data row44 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row44_col1\"\n",
" class=\"data row44 col1\" >\n",
" 0.0177753\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row44_col2\"\n",
" class=\"data row44 col2\" >\n",
" 0.982225\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row44_col3\"\n",
" class=\"data row44 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row44_col4\"\n",
" class=\"data row44 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row44_col5\"\n",
" class=\"data row44 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row45\" rowspan=1>\n",
" 45\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row45_col0\"\n",
" class=\"data row45 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row45_col1\"\n",
" class=\"data row45 col1\" >\n",
" 1.33324e-13\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row45_col2\"\n",
" class=\"data row45 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row45_col3\"\n",
" class=\"data row45 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row45_col4\"\n",
" class=\"data row45 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row45_col5\"\n",
" class=\"data row45 col5\" >\n",
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" \n",
" \n",
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" \n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row46\" rowspan=1>\n",
" 46\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row46_col0\"\n",
" class=\"data row46 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row46_col1\"\n",
" class=\"data row46 col1\" >\n",
" 7.24533e-07\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row46_col2\"\n",
" class=\"data row46 col2\" >\n",
" 0.999999\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row46_col3\"\n",
" class=\"data row46 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row46_col4\"\n",
" class=\"data row46 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row46_col5\"\n",
" class=\"data row46 col5\" >\n",
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" \n",
" \n",
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" \n",
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" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row47\" rowspan=1>\n",
" 47\n",
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" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row47_col0\"\n",
" class=\"data row47 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row47_col1\"\n",
" class=\"data row47 col1\" >\n",
" 0.0066356\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row47_col2\"\n",
" class=\"data row47 col2\" >\n",
" 0.993364\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row47_col3\"\n",
" class=\"data row47 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row47_col4\"\n",
" class=\"data row47 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row47_col5\"\n",
" class=\"data row47 col5\" >\n",
" False\n",
" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row48\" rowspan=1>\n",
" 48\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row48_col0\"\n",
" class=\"data row48 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row48_col1\"\n",
" class=\"data row48 col1\" >\n",
" 2.67893e-16\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row48_col2\"\n",
" class=\"data row48 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row48_col3\"\n",
" class=\"data row48 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row48_col4\"\n",
" class=\"data row48 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row48_col5\"\n",
" class=\"data row48 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row49\" rowspan=1>\n",
" 49\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row49_col0\"\n",
" class=\"data row49 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row49_col1\"\n",
" class=\"data row49 col1\" >\n",
" 0.193018\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row49_col2\"\n",
" class=\"data row49 col2\" >\n",
" 0.806982\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row49_col3\"\n",
" class=\"data row49 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row49_col4\"\n",
" class=\"data row49 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row49_col5\"\n",
" class=\"data row49 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row50\" rowspan=1>\n",
" 50\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row50_col0\"\n",
" class=\"data row50 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row50_col1\"\n",
" class=\"data row50 col1\" >\n",
" 5.57673e-09\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row50_col2\"\n",
" class=\"data row50 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row50_col3\"\n",
" class=\"data row50 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row50_col4\"\n",
" class=\"data row50 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row50_col5\"\n",
" class=\"data row50 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row51\" rowspan=1>\n",
" 51\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row51_col0\"\n",
" class=\"data row51 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row51_col1\"\n",
" class=\"data row51 col1\" >\n",
" 0.000512338\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row51_col2\"\n",
" class=\"data row51 col2\" >\n",
" 0.999488\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row51_col3\"\n",
" class=\"data row51 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row51_col4\"\n",
" class=\"data row51 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row51_col5\"\n",
" class=\"data row51 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row52\" rowspan=1>\n",
" 52\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row52_col0\"\n",
" class=\"data row52 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row52_col1\"\n",
" class=\"data row52 col1\" >\n",
" 2.49388e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row52_col2\"\n",
" class=\"data row52 col2\" >\n",
" 0.999975\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row52_col3\"\n",
" class=\"data row52 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row52_col4\"\n",
" class=\"data row52 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row52_col5\"\n",
" class=\"data row52 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row53\" rowspan=1>\n",
" 53\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row53_col0\"\n",
" class=\"data row53 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row53_col1\"\n",
" class=\"data row53 col1\" >\n",
" 1.2903e-14\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row53_col2\"\n",
" class=\"data row53 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row53_col3\"\n",
" class=\"data row53 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row53_col4\"\n",
" class=\"data row53 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row53_col5\"\n",
" class=\"data row53 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row54\" rowspan=1>\n",
" 54\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row54_col0\"\n",
" class=\"data row54 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row54_col1\"\n",
" class=\"data row54 col1\" >\n",
" 5.72576e-17\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row54_col2\"\n",
" class=\"data row54 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row54_col3\"\n",
" class=\"data row54 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row54_col4\"\n",
" class=\"data row54 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row54_col5\"\n",
" class=\"data row54 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row55\" rowspan=1>\n",
" 55\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row55_col0\"\n",
" class=\"data row55 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row55_col1\"\n",
" class=\"data row55 col1\" >\n",
" 2.75014e-16\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row55_col2\"\n",
" class=\"data row55 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row55_col3\"\n",
" class=\"data row55 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row55_col4\"\n",
" class=\"data row55 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row55_col5\"\n",
" class=\"data row55 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row56\" rowspan=1>\n",
" 56\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row56_col0\"\n",
" class=\"data row56 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row56_col1\"\n",
" class=\"data row56 col1\" >\n",
" 2.73142e-06\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row56_col2\"\n",
" class=\"data row56 col2\" >\n",
" 0.999997\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row56_col3\"\n",
" class=\"data row56 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row56_col4\"\n",
" class=\"data row56 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row56_col5\"\n",
" class=\"data row56 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row57\" rowspan=1>\n",
" 57\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row57_col0\"\n",
" class=\"data row57 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row57_col1\"\n",
" class=\"data row57 col1\" >\n",
" 1.3765e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row57_col2\"\n",
" class=\"data row57 col2\" >\n",
" 0.999986\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row57_col3\"\n",
" class=\"data row57 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row57_col4\"\n",
" class=\"data row57 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row57_col5\"\n",
" class=\"data row57 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row58\" rowspan=1>\n",
" 58\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row58_col0\"\n",
" class=\"data row58 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row58_col1\"\n",
" class=\"data row58 col1\" >\n",
" 3.80234e-15\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row58_col2\"\n",
" class=\"data row58 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row58_col3\"\n",
" class=\"data row58 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row58_col4\"\n",
" class=\"data row58 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row58_col5\"\n",
" class=\"data row58 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row59\" rowspan=1>\n",
" 59\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row59_col0\"\n",
" class=\"data row59 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row59_col1\"\n",
" class=\"data row59 col1\" >\n",
" 0.399199\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row59_col2\"\n",
" class=\"data row59 col2\" >\n",
" 0.600801\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row59_col3\"\n",
" class=\"data row59 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row59_col4\"\n",
" class=\"data row59 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row59_col5\"\n",
" class=\"data row59 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row60\" rowspan=1>\n",
" 60\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row60_col0\"\n",
" class=\"data row60 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row60_col1\"\n",
" class=\"data row60 col1\" >\n",
" 0.105966\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row60_col2\"\n",
" class=\"data row60 col2\" >\n",
" 0.894034\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row60_col3\"\n",
" class=\"data row60 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row60_col4\"\n",
" class=\"data row60 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row60_col5\"\n",
" class=\"data row60 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row61\" rowspan=1>\n",
" 61\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row61_col0\"\n",
" class=\"data row61 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row61_col1\"\n",
" class=\"data row61 col1\" >\n",
" 1.77882e-15\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row61_col2\"\n",
" class=\"data row61 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row61_col3\"\n",
" class=\"data row61 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row61_col4\"\n",
" class=\"data row61 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row61_col5\"\n",
" class=\"data row61 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row62\" rowspan=1>\n",
" 62\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row62_col0\"\n",
" class=\"data row62 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row62_col1\"\n",
" class=\"data row62 col1\" >\n",
" 2.20752e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row62_col2\"\n",
" class=\"data row62 col2\" >\n",
" 0.999978\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row62_col3\"\n",
" class=\"data row62 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row62_col4\"\n",
" class=\"data row62 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row62_col5\"\n",
" class=\"data row62 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row63\" rowspan=1>\n",
" 63\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row63_col0\"\n",
" class=\"data row63 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row63_col1\"\n",
" class=\"data row63 col1\" >\n",
" 1.29536e-09\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row63_col2\"\n",
" class=\"data row63 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row63_col3\"\n",
" class=\"data row63 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row63_col4\"\n",
" class=\"data row63 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row63_col5\"\n",
" class=\"data row63 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row64\" rowspan=1>\n",
" 64\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row64_col0\"\n",
" class=\"data row64 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row64_col1\"\n",
" class=\"data row64 col1\" >\n",
" 5.29163e-17\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row64_col2\"\n",
" class=\"data row64 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row64_col3\"\n",
" class=\"data row64 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row64_col4\"\n",
" class=\"data row64 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row64_col5\"\n",
" class=\"data row64 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row65\" rowspan=1>\n",
" 65\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row65_col0\"\n",
" class=\"data row65 col0\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row65_col1\"\n",
" class=\"data row65 col1\" >\n",
" 0.898976\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row65_col2\"\n",
" class=\"data row65 col2\" >\n",
" 0.101024\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row65_col3\"\n",
" class=\"data row65 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row65_col4\"\n",
" class=\"data row65 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row65_col5\"\n",
" class=\"data row65 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row66\" rowspan=1>\n",
" 66\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row66_col0\"\n",
" class=\"data row66 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row66_col1\"\n",
" class=\"data row66 col1\" >\n",
" 9.23442e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row66_col2\"\n",
" class=\"data row66 col2\" >\n",
" 0.999908\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row66_col3\"\n",
" class=\"data row66 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row66_col4\"\n",
" class=\"data row66 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row66_col5\"\n",
" class=\"data row66 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row67\" rowspan=1>\n",
" 67\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row67_col0\"\n",
" class=\"data row67 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row67_col1\"\n",
" class=\"data row67 col1\" >\n",
" 2.90726e-14\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row67_col2\"\n",
" class=\"data row67 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row67_col3\"\n",
" class=\"data row67 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row67_col4\"\n",
" class=\"data row67 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row67_col5\"\n",
" class=\"data row67 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row68\" rowspan=1>\n",
" 68\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row68_col0\"\n",
" class=\"data row68 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row68_col1\"\n",
" class=\"data row68 col1\" >\n",
" 1.75481e-09\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row68_col2\"\n",
" class=\"data row68 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row68_col3\"\n",
" class=\"data row68 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row68_col4\"\n",
" class=\"data row68 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row68_col5\"\n",
" class=\"data row68 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row69\" rowspan=1>\n",
" 69\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row69_col0\"\n",
" class=\"data row69 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row69_col1\"\n",
" class=\"data row69 col1\" >\n",
" 1.36375e-06\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row69_col2\"\n",
" class=\"data row69 col2\" >\n",
" 0.999999\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row69_col3\"\n",
" class=\"data row69 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row69_col4\"\n",
" class=\"data row69 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row69_col5\"\n",
" class=\"data row69 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row70\" rowspan=1>\n",
" 70\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row70_col0\"\n",
" class=\"data row70 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row70_col1\"\n",
" class=\"data row70 col1\" >\n",
" 1.04399e-08\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row70_col2\"\n",
" class=\"data row70 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row70_col3\"\n",
" class=\"data row70 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row70_col4\"\n",
" class=\"data row70 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row70_col5\"\n",
" class=\"data row70 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row71\" rowspan=1>\n",
" 71\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row71_col0\"\n",
" class=\"data row71 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row71_col1\"\n",
" class=\"data row71 col1\" >\n",
" 2.35672e-12\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row71_col2\"\n",
" class=\"data row71 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row71_col3\"\n",
" class=\"data row71 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row71_col4\"\n",
" class=\"data row71 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row71_col5\"\n",
" class=\"data row71 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row72\" rowspan=1>\n",
" 72\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row72_col0\"\n",
" class=\"data row72 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row72_col1\"\n",
" class=\"data row72 col1\" >\n",
" 1.44407e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row72_col2\"\n",
" class=\"data row72 col2\" >\n",
" 0.999986\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row72_col3\"\n",
" class=\"data row72 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row72_col4\"\n",
" class=\"data row72 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row72_col5\"\n",
" class=\"data row72 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row73\" rowspan=1>\n",
" 73\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row73_col0\"\n",
" class=\"data row73 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row73_col1\"\n",
" class=\"data row73 col1\" >\n",
" 0.157858\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row73_col2\"\n",
" class=\"data row73 col2\" >\n",
" 0.842142\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row73_col3\"\n",
" class=\"data row73 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row73_col4\"\n",
" class=\"data row73 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row73_col5\"\n",
" class=\"data row73 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row74\" rowspan=1>\n",
" 74\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row74_col0\"\n",
" class=\"data row74 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row74_col1\"\n",
" class=\"data row74 col1\" >\n",
" 0.244518\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row74_col2\"\n",
" class=\"data row74 col2\" >\n",
" 0.755482\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row74_col3\"\n",
" class=\"data row74 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row74_col4\"\n",
" class=\"data row74 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row74_col5\"\n",
" class=\"data row74 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row75\" rowspan=1>\n",
" 75\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row75_col0\"\n",
" class=\"data row75 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row75_col1\"\n",
" class=\"data row75 col1\" >\n",
" 1.8582e-10\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row75_col2\"\n",
" class=\"data row75 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row75_col3\"\n",
" class=\"data row75 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row75_col4\"\n",
" class=\"data row75 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row75_col5\"\n",
" class=\"data row75 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row76\" rowspan=1>\n",
" 76\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row76_col0\"\n",
" class=\"data row76 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row76_col1\"\n",
" class=\"data row76 col1\" >\n",
" 0.0360174\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row76_col2\"\n",
" class=\"data row76 col2\" >\n",
" 0.963983\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row76_col3\"\n",
" class=\"data row76 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row76_col4\"\n",
" class=\"data row76 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row76_col5\"\n",
" class=\"data row76 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row77\" rowspan=1>\n",
" 77\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row77_col0\"\n",
" class=\"data row77 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row77_col1\"\n",
" class=\"data row77 col1\" >\n",
" 5.06213e-07\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row77_col2\"\n",
" class=\"data row77 col2\" >\n",
" 0.999999\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row77_col3\"\n",
" class=\"data row77 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row77_col4\"\n",
" class=\"data row77 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row77_col5\"\n",
" class=\"data row77 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row78\" rowspan=1>\n",
" 78\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row78_col0\"\n",
" class=\"data row78 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row78_col1\"\n",
" class=\"data row78 col1\" >\n",
" 0.0456501\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row78_col2\"\n",
" class=\"data row78 col2\" >\n",
" 0.95435\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row78_col3\"\n",
" class=\"data row78 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row78_col4\"\n",
" class=\"data row78 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row78_col5\"\n",
" class=\"data row78 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row79\" rowspan=1>\n",
" 79\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row79_col0\"\n",
" class=\"data row79 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row79_col1\"\n",
" class=\"data row79 col1\" >\n",
" 3.20799e-08\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row79_col2\"\n",
" class=\"data row79 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row79_col3\"\n",
" class=\"data row79 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row79_col4\"\n",
" class=\"data row79 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row79_col5\"\n",
" class=\"data row79 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row80\" rowspan=1>\n",
" 80\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row80_col0\"\n",
" class=\"data row80 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row80_col1\"\n",
" class=\"data row80 col1\" >\n",
" 5.54684e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row80_col2\"\n",
" class=\"data row80 col2\" >\n",
" 0.999945\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row80_col3\"\n",
" class=\"data row80 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row80_col4\"\n",
" class=\"data row80 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row80_col5\"\n",
" class=\"data row80 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row81\" rowspan=1>\n",
" 81\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row81_col0\"\n",
" class=\"data row81 col0\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row81_col1\"\n",
" class=\"data row81 col1\" >\n",
" 0.957904\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row81_col2\"\n",
" class=\"data row81 col2\" >\n",
" 0.0420955\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row81_col3\"\n",
" class=\"data row81 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row81_col4\"\n",
" class=\"data row81 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row81_col5\"\n",
" class=\"data row81 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row82\" rowspan=1>\n",
" 82\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row82_col0\"\n",
" class=\"data row82 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row82_col1\"\n",
" class=\"data row82 col1\" >\n",
" 2.08707e-17\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row82_col2\"\n",
" class=\"data row82 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row82_col3\"\n",
" class=\"data row82 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row82_col4\"\n",
" class=\"data row82 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row82_col5\"\n",
" class=\"data row82 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row83\" rowspan=1>\n",
" 83\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row83_col0\"\n",
" class=\"data row83 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row83_col1\"\n",
" class=\"data row83 col1\" >\n",
" 0.00530291\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row83_col2\"\n",
" class=\"data row83 col2\" >\n",
" 0.994697\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row83_col3\"\n",
" class=\"data row83 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row83_col4\"\n",
" class=\"data row83 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row83_col5\"\n",
" class=\"data row83 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row84\" rowspan=1>\n",
" 84\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row84_col0\"\n",
" class=\"data row84 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row84_col1\"\n",
" class=\"data row84 col1\" >\n",
" 2.98284e-07\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row84_col2\"\n",
" class=\"data row84 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row84_col3\"\n",
" class=\"data row84 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row84_col4\"\n",
" class=\"data row84 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row84_col5\"\n",
" class=\"data row84 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row85\" rowspan=1>\n",
" 85\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row85_col0\"\n",
" class=\"data row85 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row85_col1\"\n",
" class=\"data row85 col1\" >\n",
" 0.0149835\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row85_col2\"\n",
" class=\"data row85 col2\" >\n",
" 0.985017\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row85_col3\"\n",
" class=\"data row85 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row85_col4\"\n",
" class=\"data row85 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row85_col5\"\n",
" class=\"data row85 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row86\" rowspan=1>\n",
" 86\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row86_col0\"\n",
" class=\"data row86 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row86_col1\"\n",
" class=\"data row86 col1\" >\n",
" 0.00312458\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row86_col2\"\n",
" class=\"data row86 col2\" >\n",
" 0.996875\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row86_col3\"\n",
" class=\"data row86 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row86_col4\"\n",
" class=\"data row86 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row86_col5\"\n",
" class=\"data row86 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row87\" rowspan=1>\n",
" 87\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row87_col0\"\n",
" class=\"data row87 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row87_col1\"\n",
" class=\"data row87 col1\" >\n",
" 0.0181656\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row87_col2\"\n",
" class=\"data row87 col2\" >\n",
" 0.981834\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row87_col3\"\n",
" class=\"data row87 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row87_col4\"\n",
" class=\"data row87 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row87_col5\"\n",
" class=\"data row87 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row88\" rowspan=1>\n",
" 88\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row88_col0\"\n",
" class=\"data row88 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row88_col1\"\n",
" class=\"data row88 col1\" >\n",
" 3.01492e-11\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row88_col2\"\n",
" class=\"data row88 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row88_col3\"\n",
" class=\"data row88 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row88_col4\"\n",
" class=\"data row88 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row88_col5\"\n",
" class=\"data row88 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row89\" rowspan=1>\n",
" 89\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row89_col0\"\n",
" class=\"data row89 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row89_col1\"\n",
" class=\"data row89 col1\" >\n",
" 4.56122e-16\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row89_col2\"\n",
" class=\"data row89 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row89_col3\"\n",
" class=\"data row89 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row89_col4\"\n",
" class=\"data row89 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row89_col5\"\n",
" class=\"data row89 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row90\" rowspan=1>\n",
" 90\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row90_col0\"\n",
" class=\"data row90 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row90_col1\"\n",
" class=\"data row90 col1\" >\n",
" 1.08058e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row90_col2\"\n",
" class=\"data row90 col2\" >\n",
" 0.999989\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row90_col3\"\n",
" class=\"data row90 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row90_col4\"\n",
" class=\"data row90 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row90_col5\"\n",
" class=\"data row90 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row91\" rowspan=1>\n",
" 91\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row91_col0\"\n",
" class=\"data row91 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row91_col1\"\n",
" class=\"data row91 col1\" >\n",
" 7.35213e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row91_col2\"\n",
" class=\"data row91 col2\" >\n",
" 0.999926\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row91_col3\"\n",
" class=\"data row91 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row91_col4\"\n",
" class=\"data row91 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row91_col5\"\n",
" class=\"data row91 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row92\" rowspan=1>\n",
" 92\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row92_col0\"\n",
" class=\"data row92 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row92_col1\"\n",
" class=\"data row92 col1\" >\n",
" 0.0667083\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row92_col2\"\n",
" class=\"data row92 col2\" >\n",
" 0.933292\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row92_col3\"\n",
" class=\"data row92 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row92_col4\"\n",
" class=\"data row92 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row92_col5\"\n",
" class=\"data row92 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row93\" rowspan=1>\n",
" 93\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row93_col0\"\n",
" class=\"data row93 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row93_col1\"\n",
" class=\"data row93 col1\" >\n",
" 4.1707e-08\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row93_col2\"\n",
" class=\"data row93 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row93_col3\"\n",
" class=\"data row93 col3\" >\n",
" 3\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row93_col4\"\n",
" class=\"data row93 col4\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row93_col5\"\n",
" class=\"data row93 col5\" >\n",
" True\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row94\" rowspan=1>\n",
" 94\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row94_col0\"\n",
" class=\"data row94 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row94_col1\"\n",
" class=\"data row94 col1\" >\n",
" 4.00953e-06\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row94_col2\"\n",
" class=\"data row94 col2\" >\n",
" 0.999996\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row94_col3\"\n",
" class=\"data row94 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row94_col4\"\n",
" class=\"data row94 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row94_col5\"\n",
" class=\"data row94 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row95\" rowspan=1>\n",
" 95\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row95_col0\"\n",
" class=\"data row95 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row95_col1\"\n",
" class=\"data row95 col1\" >\n",
" 1.79433e-05\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row95_col2\"\n",
" class=\"data row95 col2\" >\n",
" 0.999982\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row95_col3\"\n",
" class=\"data row95 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row95_col4\"\n",
" class=\"data row95 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row95_col5\"\n",
" class=\"data row95 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row96\" rowspan=1>\n",
" 96\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row96_col0\"\n",
" class=\"data row96 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row96_col1\"\n",
" class=\"data row96 col1\" >\n",
" 0.0265225\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row96_col2\"\n",
" class=\"data row96 col2\" >\n",
" 0.973477\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row96_col3\"\n",
" class=\"data row96 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row96_col4\"\n",
" class=\"data row96 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row96_col5\"\n",
" class=\"data row96 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row97\" rowspan=1>\n",
" 97\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row97_col0\"\n",
" class=\"data row97 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row97_col1\"\n",
" class=\"data row97 col1\" >\n",
" 1.24012e-11\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row97_col2\"\n",
" class=\"data row97 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row97_col3\"\n",
" class=\"data row97 col3\" >\n",
" 0\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row97_col4\"\n",
" class=\"data row97 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row97_col5\"\n",
" class=\"data row97 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row98\" rowspan=1>\n",
" 98\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row98_col0\"\n",
" class=\"data row98 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row98_col1\"\n",
" class=\"data row98 col1\" >\n",
" 0.000871012\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row98_col2\"\n",
" class=\"data row98 col2\" >\n",
" 0.999129\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row98_col3\"\n",
" class=\"data row98 col3\" >\n",
" 2\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row98_col4\"\n",
" class=\"data row98 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row98_col5\"\n",
" class=\"data row98 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_7cf3614a_1897_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row99\" rowspan=1>\n",
" 99\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row99_col0\"\n",
" class=\"data row99 col0\" >\n",
" True\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row99_col1\"\n",
" class=\"data row99 col1\" >\n",
" 1.35569e-18\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row99_col2\"\n",
" class=\"data row99 col2\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row99_col3\"\n",
" class=\"data row99 col3\" >\n",
" 1\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row99_col4\"\n",
" class=\"data row99 col4\" >\n",
" False\n",
" \n",
" \n",
" \n",
" <td id=\"T_7cf3614a_1897_11e7_8836_000129a7b193row99_col5\"\n",
" class=\"data row99 col5\" >\n",
" False\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" "
],
"text/plain": [
"<pandas.formats.style.Styler at 0x7f78b20637b8>"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cv_segments_evaluation.style.apply(\n",
" lambda row: ['background-color: {}'.format(pos_neg_neu_color_code(row['Classifications match']))] * len(row), axis=1\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the end we get 18% accuracy. That's not very good but I'll proceed with this analyzer as a stand-in for possibly better algorithms to be brought in later."
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:01:23.404790",
"start_time": "2017-04-03T14:01:23.394082-04:00"
},
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"0.17999999999999999"
]
},
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# accuracy\n",
"cv_segments_evaluation['Classifications match'].mean()"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"### Sentiment by show "
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Now I'll group by network and show and compute an overall sentiment score for each show. I'm doing it by averaging `p_pos` for each transcript associated with that show. That's easy to code but it's not really the proper way to compute an overall probability of positive sentiment, so I call it `positivity` rather than `p_pos`.\n",
"\n",
"With the computed positivity values, I'll create a swarm plot to show the distribution by network. I've labeled any shows which are significantly more negative than the median for their network. (I would have liked to have tooltip-style dynamic labels, but [a bug in mpld3](https://github.com/mpld3/mpld3/issues/417) prevents that from working.)"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:04:59.314324",
"start_time": "2017-04-03T14:04:58.433283-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.788 THE VIEW\n",
"0.854 The Early Show\n",
"0.458 NANCY GRACE\n",
"0.588 Inside Man\n",
"0.752 JANE VELEZ-MITCHELL\n",
"0.689 STOSSEL\n",
"0.722 THE O`REILLY FACTOR\n",
"0.734 CBS THIS MORNING\n",
"0.762 FOX FILES\n",
"0.771 FOX THE O'REILLY FACTOR\n",
"0.836 Inside the Obama White House: Brian Williams Reports\n"
]
},
{
"data": {
"image/png": 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NbTixWfai/dpwYrNeyXhTr2x5UzWO2s4usUPRUwsAAIAOd/vtd+rXv35KS5cu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\nzdngto1JJk1JnuB2/3nJE7U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N8lFFHY9QCwBAF/PSS3/Qr3/9VJNtixcvVM+eqVqxYomu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\nWy1avpTYSRei1nmvelz4y0KfCV41l4vCJYtIunGq/za+XoP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Yajabjyk4ZgKw12w2Lwcw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\nywkTJvHOO293eZyuPt8FC+azbNkSLr74QgBqa2tYu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5Ss/F26bVFQfkDkAm1P+iPUvgzU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\nRK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f78b2065828>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"m = analyzed_segments[['Network', 'Show', 'p_pos']].groupby(['Network', 'Show']).mean().reset_index().rename(columns={'p_pos': 'positivity'})\n",
"\n",
"fig = plt.figure(figsize=(16, 12))\n",
"ax = sns.swarmplot(data=m, x='positivity', y='Network', size=10)\n",
"\n",
"sorted_m = m.sort_values(['Network', 'positivity'])\n",
"labels = sorted_m['Show'].values\n",
"sorted_m['y'] = np.vstack([c.get_offsets() for c in fig.axes[0].collections]).T[1]\n",
"# Identify points that deviate strongly from the average\n",
"sorted_m['Outlier'] = sorted_m.groupby('Network')['positivity'].apply(lambda s: s < s.median() - 2 * s.std())\n",
"\n",
"# Compute vertical placement of labels\n",
"sorted_m['Text offset'] = 0\n",
"outliers = sorted_m[sorted_m['Outlier']].copy()\n",
"for network, y in outliers.groupby('Network')['y']:\n",
" if y.max() - y.min() < 1e-10:\n",
" # all points at same y-coordinate\n",
" outlier_x = outliers.loc[outliers['Network'] == network, 'positivity']\n",
" outliers.loc[outliers['Network'] == network, 'Text offset'] = np.arange(len(outlier_x)) * 12 + 15\n",
" pass\n",
" else:\n",
" # points at different y-coordinates\n",
" mean_y = y.mean()\n",
" outlier_x = outliers.loc[y.index].loc[y >= mean_y, 'positivity']\n",
" outliers.loc[outlier_x.index, 'Text offset'] = -np.arange(len(outlier_x)) * 12 - 15\n",
" outlier_x = outliers.loc[y.index].loc[y < mean_y, 'positivity']\n",
" outliers.loc[outlier_x.index, 'Text offset'] = np.arange(len(outlier_x)) * 12 + 15\n",
"\n",
"for index, row in outliers.iterrows():\n",
" print('{:.3f} {}'.format(row['positivity'], row['Show']))\n",
" ax.annotate(row['Show'], xy=row[['positivity', 'y']], xytext=(15, row['Text offset']), textcoords='offset points', arrowprops={'arrowstyle': '->'}, horizontalalignment='center')"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"source": [
"This preliminary result suggests there are several shows on CNN and Fox that are unusually negative toward Obama, but we shouldn't take it too seriously; as previously mentioned, the training set is probably not well suited for this application.\n",
"\n",
"I do note that there are some cases where the same show is given two (or perhaps more) different titles in different transcripts. Consolidating those might help the analysis, but I doubt it will make a particularly big improvement."
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true,
"deletable": true,
"editable": true
},
"source": [
"# Improving the analyzer"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"## Liu opinion lexicon"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"My search for a more appropriate corpus led me to [an ongoing sentiment analysis of recent news stories by Brian Kurilla](http://geekpsychologist.com/how-negative-is-political-news-coverage/). He's doing nearly the same thing I am, except with current stories instead of historical ones. He uses [Bing Liu's opinion lexicon](https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html#lexicon) to train the sentiment classifier, and that does seem like a better indicator of the sentiment of political reporting, so I'll try using that corpus instead of the movie reviews.\n",
"\n",
"The opinion lexicon is supported by Python NLTK and is available in the `nltk.corpus.opinion_lexicon` module."
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:06:47.549245",
"start_time": "2017-04-03T14:06:47.541621-04:00"
},
"collapsed": false
},
"outputs": [],
"source": [
"import nltk.corpus"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:06:51.059048",
"start_time": "2017-04-03T14:06:51.043797-04:00"
},
"collapsed": true,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"class NaiveBayesCorpusAnalyzer(NaiveBayesAnalyzer):\n",
" def __init__(self, labeled_features, feature_extractor=textblob.en.sentiments._default_feature_extractor):\n",
" '''Takes a dict of {label: [feature1, feature2, ...], ...}'''\n",
" super(NaiveBayesCorpusAnalyzer, self).__init__(feature_extractor)\n",
" self.labeled_features = labeled_features\n",
"\n",
" @textblob.decorators.requires_nltk_corpus\n",
" def train(self):\n",
" \"\"\"Train the Naive Bayes classifier on the selected corpus.\"\"\"\n",
" # NaiveBayesAnalyzer.train() uses the movie review data set, we don't want that\n",
" textblob.base.BaseSentimentAnalyzer.train(self)\n",
" train_data = [\n",
" (self.feature_extractor(self.labeled_features[classification]), classification)\n",
" for classification in self.labeled_features\n",
" ]\n",
" self._classifier = nltk.classify.NaiveBayesClassifier.train(train_data)"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:09:57.757700",
"start_time": "2017-04-03T14:09:57.508293-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"opinion_analyzer = NaiveBayesCorpusAnalyzer({\n",
" 'pos': nltk.corpus.opinion_lexicon.positive(),\n",
" 'neg': nltk.corpus.opinion_lexicon.negative()\n",
"})\n",
"opinion_analyzer.train()"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"Here are the results of applying the Liu lexicon-trained analyzer to the first 10 sample speech segments. The positive and negative features identified by the analyzer seem much more reasonable, but there are very few of them, which limits our confidence in the overall results."
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:10:00.502394",
"start_time": "2017-04-03T14:10:00.071335-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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" <td class=\"highlight-text\">(Off-camera) All <span style=\"background-color: #d4ecdd\">right</span>, Chris. And now, our first political roundtable of the<br>New Year. And we're looking ahead at 2009, set to be an historic year, of<br>course, in politics. Barack Obama taking office in the midst of the <span style=\"background-color: #f9d7d9\">worst</span><br>economic <span style=\"background-color: #f9d7d9\">crisis</span> in a generation.<br><br>(Off-camera) Everyone wants to know what's coming next? So, to <span style=\"background-color: #f9d7d9\">break</span> it all<br>down, we're joined by our political dream team, they were a dream team in '08<br>and they are here in '09. That's Cokie Roberts, she's out in California, and our<br>political consultant Matthew Dowd. <span style=\"background-color: #d4ecdd\">Good</span> to have you both. <span style=\"background-color: #d4ecdd\">Happy</span> New Year. <span style=\"background-color: #d4ecdd\">Happy</span><br>New Year.<br></td>\n",
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" \n",
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" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #555\">neutral</span> (<tt>p<sub>pos</sub>=0.5</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) Same to you, Robin.<br><br>(Off-camera) Everyone, Cokie, is looking, of course, toward what's gonna happen<br>in a few weeks, the inauguration, and those first 100 days in office. What do<br>you think, what is the single most <span style=\"background-color: #e6f4eb\">important</span> thing that - Barack Obama does<br>first?<br><br>(Off-camera) <span style=\"background-color: #e6f4eb\">Well</span>, he's, in some ways, he has a <span style=\"background-color: #e6f4eb\">fabulous</span> opportunity, because<br>the country is <span style=\"background-color: #f5bbbd\">scared</span>. The Congress is <span style=\"background-color: #e6f4eb\">ready</span> to spend money. And he can really<br>do a <span style=\"background-color: #e6f4eb\">great</span> big series of economic measures, including he could do some <span style=\"background-color: #e6f4eb\">important</span><br>things on health care.<br></td>\n",
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" background-color: #f5bbbd;\n",
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"\n",
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"\n",
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" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07a5a26_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" fabulous\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 0.447214\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07a5a26_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" great\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 0.447214\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07a5a26_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" important\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 0.447214\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07a5a26_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" ready\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" 0.447214\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07a5a26_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" well\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" 0.447214\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07a5a26_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" scared\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row5_col0\"\n",
" class=\"data row5 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07a5a26_1898_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" -2.23607\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.988</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) Historically, presidents have really, some have gotten off to a<br><span style=\"background-color: #fbe1e2\">slow</span> start and have had some <span style=\"background-color: #fbe1e2\">stumbles</span> <span style=\"background-color: #bbe1ca\">right</span> out of the blocks, so to speak. How<br>does he avoid that?<br><br>(Off-camera) I think the biggest test for Barack Obama is the <span style=\"background-color: #fbe1e2\">unforeseen</span> things<br>that happen along the way, stuff that comes up, communication that goes awry,<br>things that happen in the country.<br><br>(Off-camera) Cokie, what do you think...<br></td>\n",
" <td rowspan=\"2\" class=\"feature-df\">\n",
" <style type=\"text/css\" >\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
" background-color: #bbe1ca;\n",
" \n",
" }\n",
" \n",
" #T_c07e13d2_1898_11e7_8836_000129a7b193row1_col0 {\n",
" \n",
" background-color: #fbe1e2;\n",
" \n",
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" \n",
" #T_c07e13d2_1898_11e7_8836_000129a7b193row1_col1 {\n",
" \n",
" background-color: #fbe1e2;\n",
" \n",
" }\n",
" \n",
" #T_c07e13d2_1898_11e7_8836_000129a7b193row1_col2 {\n",
" \n",
" background-color: #fbe1e2;\n",
" \n",
" }\n",
" \n",
" #T_c07e13d2_1898_11e7_8836_000129a7b193row2_col0 {\n",
" \n",
" background-color: #fbe1e2;\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
" #T_c07e13d2_1898_11e7_8836_000129a7b193row3_col0 {\n",
" \n",
" background-color: #fbe1e2;\n",
" \n",
" }\n",
" \n",
" #T_c07e13d2_1898_11e7_8836_000129a7b193row3_col1 {\n",
" \n",
" background-color: #fbe1e2;\n",
" \n",
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" \n",
" #T_c07e13d2_1898_11e7_8836_000129a7b193row3_col2 {\n",
" \n",
" background-color: #fbe1e2;\n",
" \n",
" }\n",
" \n",
" </style>\n",
"\n",
" <table id=\"T_c07e13d2_1898_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07e13d2_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" right\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 1.73205\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07e13d2_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" slow\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" -0.57735\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07e13d2_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" stumbles\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" -0.57735\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c07e13d2_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" unforeseen\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c07e13d2_1898_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" -0.57735\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #ec7d82\">negative</span> (<tt>p<sub>neg</sub>=0.9</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) <span style=\"background-color: #e3f3e9\">Well</span>, <span style=\"background-color: #e3f3e9\">interesting</span>, he's got the Bush people that put - put in the<br>war at the end of the administration. He's got to get us out in some <span style=\"background-color: #f6c3c6\">lengthy</span><br>timetable that probably has to be 18 months or less.<br><br>(Off-camera) All <span style=\"background-color: #e3f3e9\">right</span>. A final question to you both because this is the first<br>political roundtable of '09, and get out your crystal ball here. Cokie, let's<br>start with you first. And everyone <span style=\"background-color: #f6c3c6\">anxiously</span> awaiting President-elect Barack<br>Obama and what is going to be an historic moment, and you're always <span style=\"background-color: #e3f3e9\">good</span> about<br>looking at the, having a historical perspective when it comes to politics.<br><br>(Off-camera) <span style=\"background-color: #e3f3e9\">Well</span>, I think that he is going to be very <span style=\"background-color: #e3f3e9\">inspiring</span> at his<br>inauguration. You know, one thing we know he knows how to do <span style=\"background-color: #e3f3e9\">incredibly</span><br><span style=\"background-color: #e3f3e9\">beautifully</span> is give a speech.<br></td>\n",
" <td rowspan=\"2\" class=\"feature-df\">\n",
" <style type=\"text/css\" >\n",
" \n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row0_col0 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row0_col1 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row0_col2 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row1_col0 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row1_col1 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row1_col2 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row2_col0 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row2_col1 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row2_col2 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row3_col0 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row3_col1 {\n",
" \n",
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" \n",
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" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row3_col2 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
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" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row4_col1 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
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" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row4_col2 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
" }\n",
" \n",
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" \n",
" background-color: #e3f3e9;\n",
" \n",
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" #T_c0838402_1898_11e7_8836_000129a7b193row5_col1 {\n",
" \n",
" background-color: #e3f3e9;\n",
" \n",
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" background-color: #e3f3e9;\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row6_col2 {\n",
" \n",
" background-color: #f6c3c6;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row7_col0 {\n",
" \n",
" background-color: #f6c3c6;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row7_col1 {\n",
" \n",
" background-color: #f6c3c6;\n",
" \n",
" }\n",
" \n",
" #T_c0838402_1898_11e7_8836_000129a7b193row7_col2 {\n",
" \n",
" background-color: #f6c3c6;\n",
" \n",
" }\n",
" \n",
" </style>\n",
"\n",
" <table id=\"T_c0838402_1898_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0838402_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" good\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
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" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row0_col2\"\n",
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" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0838402_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" incredibly\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row1_col0\"\n",
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" \n",
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" \n",
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" 0.534522\n",
" \n",
" \n",
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" \n",
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" \n",
" \n",
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" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -2\n",
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" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 0.534522\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0838402_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" interesting\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -2\n",
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" \n",
" \n",
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" class=\"data row3 col2\" >\n",
" 0.534522\n",
" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
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" class=\"row_heading level0 row4\" rowspan=1>\n",
" right\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" 0.534522\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0838402_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" well\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row5_col0\"\n",
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" -2\n",
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" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row5_col1\"\n",
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" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" 0.534522\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0838402_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" anxiously\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" -1.87083\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0838402_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" lengthy\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0838402_1898_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" -1.87083\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.996</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) All <span style=\"background-color: #e5f3ea\">right</span>. <span style=\"background-color: #e5f3ea\">Thank</span> you. <span style=\"background-color: #e5f3ea\">Well</span>, Washington will be in full swing in<br>2009, working to turn around the economic <span style=\"background-color: #f6c0c2\">crisis</span>. President-elect Barack Obama's<br>economic dream team is already rolling up their sleeves. The question is, is the<br>job simply too big? Will the economy really turn around in the New Year? <span style=\"background-color: #e5f3ea\">Well</span>,<br>who can answer this for us? The dream team. They're here to peek into the<br>future. We have \"GMA\" financial contributor and president of Ariel Investments,<br>Mellody Hobson, chief investment strategist for Charles Schwab, Liz Ann Sonders,<br>and chief mergers and acquisitions reporter for \"The New York Times,\" Andrew<br>Ross Sorkin. Every time I say the titles, I <span style=\"background-color: #e5f3ea\">like</span> them a little bit more.<br><br>(Off-camera) All <span style=\"background-color: #e5f3ea\">right</span>. Let's start with big picture. Start with you, Mellody.<br>Everybody is trying to figure out some tea leaves. What do you think are the<br>indicators to watch?<br></td>\n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
" background-color: #f6c0c2;\n",
" \n",
" }\n",
" \n",
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" \n",
" background-color: #f6c0c2;\n",
" \n",
" }\n",
" \n",
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" \n",
"\n",
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" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c088b620_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" like\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 0.5\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c088b620_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" right\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 0.5\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c088b620_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" thank\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 0.5\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c088b620_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" well\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" 0.5\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c088b620_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" crisis\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c088b620_1898_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" -2\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.964</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">Tonight on \"Nightline,\" the rise of Obama. How a fresh-faced Senator from<br>Illinois became a political rock star, <span style=\"background-color: #ddf0e4\">inspiring</span> millions of voters with a<br>message of hope and redefining America's political landscape in the process.<br><br>Yes, he can. And did survive a primary dogfight with Hillary Clinton before<br>beating John McCain in an historic election. And for two years, \"Nightline\" was<br>there every step of the way with exclusive access and <span style=\"background-color: #ddf0e4\">intimate</span> interviews.<br><br>And Mr President. The New Year brings a new president and so many challenges <span style=\"background-color: #f8cdcf\">lie</span><br>ahead at home and abroad as Barack Obama prepares for the White House.<br><br>From the global resources of ABC News with Terry Moran, Martin Bashir and<br>Cynthia McFadden in New York City, this is \"Nightline,\" January 1, 2009.<br></td>\n",
" <td rowspan=\"2\" class=\"feature-df\">\n",
" <style type=\"text/css\" >\n",
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" \n",
" background-color: #ddf0e4;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row0_col1 {\n",
" \n",
" background-color: #ddf0e4;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row0_col2 {\n",
" \n",
" background-color: #ddf0e4;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row1_col0 {\n",
" \n",
" background-color: #ddf0e4;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row1_col1 {\n",
" \n",
" background-color: #ddf0e4;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row1_col2 {\n",
" \n",
" background-color: #ddf0e4;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row2_col0 {\n",
" \n",
" background-color: #f8cdcf;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row2_col1 {\n",
" \n",
" background-color: #f8cdcf;\n",
" \n",
" }\n",
" \n",
" #T_c08c956a_1898_11e7_8836_000129a7b193row2_col2 {\n",
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"\n",
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" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
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" \n",
" \n",
" \n",
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" neg\n",
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" \n",
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" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c08c956a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" inspiring\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 0.707107\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c08c956a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" intimate\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 0.707107\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c08c956a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" lie\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c08c956a_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" -1.41421\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.75</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) <span style=\"background-color: #e5f3ea\">Good</span> evening, everyone. I'm Terry Moran. <span style=\"background-color: #e5f3ea\">Happy</span> New Year to you.<br><span style=\"background-color: #e5f3ea\">Well</span>, the vacation for Barack Obama is over. The president-elect and future<br>first family boarded a flight this afternoon for the mainland after 13 days in<br>Hawaii. It will be a short stopover in Chicago. The Obamas plan to move to<br>Washington this weekend in time for daughters Sasha and Malia to begin at their<br>new school on Monday. And in less than three weeks, Obama will stand on the<br>Capitol steps and officially take the oath of office. Another milestone in his<br><span style=\"background-color: #e5f3ea\">extraordinary</span> political rise. So tonight, we look back at the making of a<br>president.<br><br>The next first family of the United States of America.<br><br>(Voiceover) It's been an American journey <span style=\"background-color: #e5f3ea\">like</span> no other.<br><br>Because of what we did on this day, in this election, at this defining moment,<br>change has come to America.<br><br>(Voiceover) What a moment it was. The culmination of nearly two years of an epic<br>political contest and we were there, even before it began.<br><br>(Off-camera) How are you?<br><br><span style=\"background-color: #f6bfc2\">Sorry</span> I'm a couple of minutes late.<br><br>(Voiceover) November 2006, more than two years ago, before Barack Obama had even<br>decided to run for president, it was in the closing hours of that midterm<br>election when the Democrats took back Congress that we first hit the road with<br>the junior Senator from Illinois. That day, he was barnstorming across the<br>country campaigning for Democratic candidates and drawing huge crowds.<br><br>We <span style=\"background-color: #e5f3ea\">love</span> you.<br><br>I <span style=\"background-color: #e5f3ea\">love</span> you back.<br><br>(Voiceover) In Cleveland that morning, we asked him about all that star<br>treatment.<br><br>(Off-camera) And <span style=\"background-color: #e5f3ea\">right</span> now, you're on a roll. Obama-mania, they call it, the<br>rock star. You get a big <span style=\"background-color: #e5f3ea\">cheer</span> when you get up there.<br><br>This has been an <span style=\"background-color: #e5f3ea\">interesting</span> ride. You know, 2 1/2 years ago nobody knew my<br>name. And the <span style=\"background-color: #e5f3ea\">nice</span> thing is I had <span style=\"background-color: #e5f3ea\">worked</span> in almost total <span style=\"background-color: #f6bfc2\">obscurity</span> for ten years<br>in politics before I was elected to the Senate. So I tend not to take it too<br>seriously. You know, I'm <span style=\"background-color: #f6bfc2\">suspicious</span> of <span style=\"background-color: #f6bfc2\">hype</span> and I'm <span style=\"background-color: #f6bfc2\">suspicious</span> of our celebrity<br>culture, which, you know, is part of politics.<br><br>(Voiceover) He was young. We forget maybe how young he seemed then, less than<br>two years in the Senate. But al<span style=\"background-color: #e5f3ea\">ready</span> many people who knew about him were<br><span style=\"background-color: #e5f3ea\">excited</span>, <span style=\"background-color: #e5f3ea\">thrilled</span> in a way American politics hadn't seen in a long while. Back<br>then, 2006 they were naming babies after him in Iowa.<br><br>How are you? This is baby Barack <span style=\"background-color: #e5f3ea\">right</span> here. Oh, you're so <span style=\"background-color: #e5f3ea\">precious</span>. Yes, you<br>are.<br><br>(Voiceover) Obama was <span style=\"background-color: #e5f3ea\">clearly</span> thinking then about running for president, but was<br>he <span style=\"background-color: #e5f3ea\">ready</span>?<br><br>(Off-camera) What experience do you have that you believe qualifies you to be<br>president of the United States?<br><br><span style=\"background-color: #e5f3ea\">Right</span>, <span style=\"background-color: #e5f3ea\">well</span>, you know, I think that's a question that I've got to ask myself<br>before I make any decision. And then ultimately that's a question that I think<br>that the voters of the United States have to ask any candidate. But I think the<br>real question is do I have the judgment to be president? Do I have the vision to<br>be president? Do I have the <span style=\"background-color: #e5f3ea\">passion</span> to be president?<br><br>(Voiceover) The odds were long. A man of mixed race with a name un<span style=\"background-color: #e5f3ea\">like</span> any other<br>candidates in our history. A newcomer on the national scene, but he was<br>envisioning a different kind of campaign.<br></td>\n",
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" }\n",
" \n",
" #T_c094b588_1898_11e7_8836_000129a7b193row6_col2 {\n",
" \n",
" background-color: #f6bfc2;\n",
" \n",
" }\n",
" \n",
" #T_c094b588_1898_11e7_8836_000129a7b193row7_col0 {\n",
" \n",
" background-color: #f6bfc2;\n",
" \n",
" }\n",
" \n",
" #T_c094b588_1898_11e7_8836_000129a7b193row7_col1 {\n",
" \n",
" background-color: #f6bfc2;\n",
" \n",
" }\n",
" \n",
" #T_c094b588_1898_11e7_8836_000129a7b193row7_col2 {\n",
" \n",
" background-color: #f6bfc2;\n",
" \n",
" }\n",
" \n",
" </style>\n",
"\n",
" <table id=\"T_c094b588_1898_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" excited\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 0.485071\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" clearly\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 0.485071\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" like\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 0.485071\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" worked\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" 0.485071\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" hype\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" -2.06155\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" obscurity\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row5_col0\"\n",
" class=\"data row5 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" -2.06155\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" sorry\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" -2.06155\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c094b588_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" suspicious\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c094b588_1898_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" -2.06155\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=1</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) Republican, Democratic, b<span style=\"background-color: #f8cdcf\">lack</span>, white, red, blue. It's almost as if<br>the bridging of differences you did in your own life is something you're<br>bringing to your politics. Is your politics about your biography?<br><br>When I think about, you know, how I processed my own life and had to bridge<br>racial <span style=\"background-color: #f8cdcf\">issues</span> and cultural <span style=\"background-color: #f8cdcf\">issues</span>, had to translate, you know, one culture to<br>another, I think that is one of my strengths as a politician. And I think that's<br>what the country is hungry for <span style=\"background-color: #ddf0e4\">right</span> now.<br><br>I stand before you today to announce my candidacy for president of the United<br>States of America.<br><br>(Voiceover) In January of 2007, Obama's race for the White House began. He came<br>out of the block <span style=\"background-color: #f8cdcf\">slowly</span>, seemingly <span style=\"background-color: #f8cdcf\">overwhelmed</span> by the <span style=\"background-color: #ddf0e4\">mighty</span> campaign juggernaut<br>of the front-runner, Senator Hillary Clinton.<br><br>I hope you'll consider caucusing for me on January 3rd. <span style=\"background-color: #ddf0e4\">Thank</span> you.<br><br>(Voiceover) But in the home stretch of the Iowa caucuses, Obama hit his stride<br>and we were there. He didn't <span style=\"background-color: #f8cdcf\">lack</span> <span style=\"background-color: #ddf0e4\">confidence</span>.<br><br>(Off-camera) What are you doing out here in western Iowa? It's rural, I wouldn't<br>think it's Barack Obama country.<br><br>You know, every place is Barack Obama country once Barack Obama has been there.<br>You know, look, this is - we purposely come to areas <span style=\"background-color: #ddf0e4\">like</span> this. What we find is<br>that when we get chance to talk to people and interact with them, and answer<br>questions, that we got a <span style=\"background-color: #ddf0e4\">good</span> base of <span style=\"background-color: #ddf0e4\">support</span> in these areas.<br><br>(Voiceover) Something was crystallizing in that Iowa winter, something you could<br>sense in the bigger and more <span style=\"background-color: #ddf0e4\">ecstatic</span> crowds Obama started drawing. Something in<br>the <span style=\"background-color: #ddf0e4\">quiet</span> reflection in the minds of Iowa voters.<br><br>He's looking for change. He doesn't seem to be <span style=\"background-color: #f8cdcf\">afraid</span> of change. It would be an<br>historic thing for Barack Obama. Wouldn't it be <span style=\"background-color: #ddf0e4\">awesome</span> to have that face<br>representing this republic to the world? Wouldn't that be <span style=\"background-color: #ddf0e4\">awesome</span>? Yeah.<br><br>How you doing?<br></td>\n",
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" \n",
" \n",
" \n",
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" pos\n",
" \n",
" \n",
" \n",
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" Z difference\n",
" \n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
" \n",
" <td id=\"T_c09d82e4_1898_11e7_8836_000129a7b193row0_col0\"\n",
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" \n",
" \n",
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" \n",
" \n",
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" \n",
" \n",
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" \n",
" \n",
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" \n",
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" \n",
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" \n",
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" afraid\n",
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" \n",
" \n",
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" -0.415037\n",
" \n",
" \n",
" \n",
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" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c09d82e4_1898_11e7_8836_000129a7b193row3_col2\"\n",
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" -1.41421\n",
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" \n",
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" issues\n",
" \n",
" \n",
" \n",
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" \n",
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" \n",
" \n",
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" \n",
" \n",
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" -2\n",
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" \n",
" \n",
" <td id=\"T_c09d82e4_1898_11e7_8836_000129a7b193row5_col2\"\n",
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" -1.41421\n",
" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
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" class=\"row_heading level0 row6\" rowspan=1>\n",
" overwhelmed\n",
" \n",
" \n",
" \n",
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" \n",
" \n",
" \n",
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" -2\n",
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" \n",
" \n",
" <td id=\"T_c09d82e4_1898_11e7_8836_000129a7b193row6_col2\"\n",
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" -1.41421\n",
" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c09d82e4_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" slowly\n",
" \n",
" \n",
" \n",
" <td id=\"T_c09d82e4_1898_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
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" \n",
" \n",
" <td id=\"T_c09d82e4_1898_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" -2\n",
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" \n",
" \n",
" <td id=\"T_c09d82e4_1898_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" -1.41421\n",
" \n",
" \n",
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" \n",
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" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.996</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">(Off-camera) So you think her being first lady isn't all that, isn't as much as<br>she's claiming.<br><br>That's no <span style=\"background-color: #f7c6c9\">doubt</span> that Bill Clinton had <span style=\"background-color: #e2f2e8\">faith</span> in her and consulted with her on<br><span style=\"background-color: #f7c6c9\">issues</span> in the same way that I would consult with Michelle if there were <span style=\"background-color: #f7c6c9\">issues</span>.<br>On the other hand, I don't think Michelle would claim that she is the <span style=\"background-color: #e2f2e8\">best</span><br><span style=\"background-color: #e2f2e8\">qualified</span> person to be a United States Senator by <span style=\"background-color: #e2f2e8\">virtue</span> of me talking to her on<br>occasion about the <span style=\"background-color: #e2f2e8\">work</span> that I have done.<br><br>(Voiceover) Barack Obama will <span style=\"background-color: #e2f2e8\">win</span> the caucuses here in Iowa.<br><br>(Voiceover) On caucus night, Obama <span style=\"background-color: #f7c6c9\">shocked</span> the political world. He trounced<br>Clinton and all of a sudden America was confronted with the real possibility of<br>a black president. Obama had told us he could see it happening.<br><br>(Off-camera) Do you really think you can <span style=\"background-color: #e2f2e8\">win</span> this whole thing, President Barack<br>Obama?<br><br>Absolutely. The only reason to do this is because, A, I believe I can <span style=\"background-color: #e2f2e8\">win</span>. And I<br>think that increasingly political professionals who watch what we're doing think<br>we can <span style=\"background-color: #e2f2e8\">win</span> as <span style=\"background-color: #e2f2e8\">well</span>. And, B, I think I should <span style=\"background-color: #e2f2e8\">win</span>. And frankly, there are times<br>in our country's history where I might not be the <span style=\"background-color: #e2f2e8\">right</span> person for the job. I<br>think that now actually the skills that I have and the experience that I bring<br>is suited to the task at hand. And, you know, the question will be whether the<br>American people agree with me.<br><br>(Voiceover) The answer would only come after a long, grueling, <span style=\"background-color: #e2f2e8\">extraordinary</span><br>year.<br></td>\n",
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" \n",
" #T_c0a4f79a_1898_11e7_8836_000129a7b193row5_col2 {\n",
" \n",
" background-color: #f7c6c9;\n",
" \n",
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" \n",
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" \n",
" background-color: #f7c6c9;\n",
" \n",
" }\n",
" \n",
" #T_c0a4f79a_1898_11e7_8836_000129a7b193row6_col1 {\n",
" \n",
" background-color: #f7c6c9;\n",
" \n",
" }\n",
" \n",
" #T_c0a4f79a_1898_11e7_8836_000129a7b193row6_col2 {\n",
" \n",
" background-color: #f7c6c9;\n",
" \n",
" }\n",
" \n",
" #T_c0a4f79a_1898_11e7_8836_000129a7b193row7_col0 {\n",
" \n",
" background-color: #f7c6c9;\n",
" \n",
" }\n",
" \n",
" #T_c0a4f79a_1898_11e7_8836_000129a7b193row7_col1 {\n",
" \n",
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" \n",
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" \n",
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"\n",
" <table id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" right\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 0.57735\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" virtue\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
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" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
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" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" well\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" 0.57735\n",
" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" win\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" 0.57735\n",
" \n",
" \n",
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" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" work\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" 0.57735\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" doubt\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row5_col0\"\n",
" class=\"data row5 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" -1.73205\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" issues\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" -1.73205\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" shocked\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0a4f79a_1898_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" -1.73205\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.999</tt>)</td>\n",
" </tr>\n",
"\n",
" <tr>\n",
" <td class=\"highlight-text\">ABC News \"Nightline\" brought to you by...<br><br>(Off-camera) Barack Obama emerged as a serious contender for his party's<br>nomination after his <span style=\"background-color: #dbefe3\">victory</span> in Iowa. But with that status would come a new<br>level of scrutiny and a level of political combat he'd never seen. He <span style=\"background-color: #f8d0d2\">lost</span> some<br>big primaries. He faced a ferocious <span style=\"background-color: #f8d0d2\">controversy</span> over his former pastor. He<br>battled the vaunted Clinton political machine through the spring and through it<br>all he kept his familiar <span style=\"background-color: #dbefe3\">cool</span>.<br><br><span style=\"background-color: #dbefe3\">Thank</span> you, Iowa.<br><br>(Voiceover) After his big <span style=\"background-color: #dbefe3\">win</span> in Iowa, Barack Obama headed into New Hampshire<br>riding a wave of momentum.<br><br>How's it going, New Hampshire?<br><br>(Voiceover) He was drawing huge crowds, the <span style=\"background-color: #dbefe3\">enthusiasm</span> was palpable. There were<br>even pundits already calling on Hillary Clinton to withdraw, but she had other<br>ideas.<br><br>I'm still standing and I am still fighting for you.<br><br>(Voiceover) And she <span style=\"background-color: #f8d0d2\">stole</span> the show from Obama in New Hampshire with grit,<br>determination and a rare flash of emotion.<br><br>I just don't want to see us <span style=\"background-color: #f8d0d2\">fall</span> backwards. You know?<br><br>(Voiceover) It all added up to a <span style=\"background-color: #dbefe3\">tough</span> primary election night. The first of what<br>would be many more for Obama.<br><br><span style=\"background-color: #dbefe3\">Well</span>, first of all, I want to <span style=\"background-color: #dbefe3\">congratulate</span> Senator Clinton on hard-fought<br><span style=\"background-color: #dbefe3\">victory</span> here in New Hampshire.<br><br>(Voiceover) And so the stage was set for an epic political battle. Obama set out<br>to prove he was <span style=\"background-color: #dbefe3\">tough</span> <span style=\"background-color: #dbefe3\">enough</span> and could <span style=\"background-color: #dbefe3\">win</span> over <span style=\"background-color: #dbefe3\">enough</span> white voters, especially<br>blue-collar voters.<br><br>So I hope everybody is voting for me.<br><br>(Voiceover) And that was one reason he went in late January to El Dorado,<br>Kansas, the birth place of his white grandfather.<br><br>(Off-camera) Do you think that back when your grandfather was growing up in this<br>town in the '20's and 30's you could have sat at this lunch counter?<br><br>Certainly, you know, people would not have anticipated me showing up midday...<br><br>(Off-camera) As a presidential candidate.<br><br>As a presidential candidate.<br><br>(Off-camera) <span style=\"background-color: #dbefe3\">Right</span>. <span style=\"background-color: #dbefe3\">Right</span>.<br><br>(Voiceover) From the beginning, Obama wanted his campaign to <span style=\"background-color: #f8d0d2\">topple</span> the old<br>political categories of red and blue, black and white.<br><br>There are a set of values and roots here in the Midwest. And that although<br>Kansas is now considered this red state and, you know, irrevocably Republican<br>that there are connections between all of us.<br><br>(Voiceover) It was all very idealistic, but out on the trail and in the debate,<br>Obama was in a dogfight with the <span style=\"background-color: #f8d0d2\">relentless</span> Hillary Clinton.<br><br>I was fighting against those ideas when you were practicing law and representing<br>your contributor Rezko in his slum landlord business in inner city Chicago.<br></td>\n",
" <td rowspan=\"2\" class=\"feature-df\">\n",
" <style type=\"text/css\" >\n",
" \n",
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" #T_c0ad0e62_1898_11e7_8836_000129a7b193row0_col0 {\n",
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" \n",
" }\n",
" \n",
" #T_c0ad0e62_1898_11e7_8836_000129a7b193row2_col1 {\n",
" \n",
" background-color: #f8d0d2;\n",
" \n",
" }\n",
" \n",
" #T_c0ad0e62_1898_11e7_8836_000129a7b193row2_col2 {\n",
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" \n",
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" \n",
" background-color: #f8d0d2;\n",
" \n",
" }\n",
" \n",
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" \n",
" background-color: #f8d0d2;\n",
" \n",
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" \n",
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" \n",
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" \n",
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" \n",
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" \n",
" }\n",
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" \n",
" background-color: #f8d0d2;\n",
" \n",
" }\n",
" \n",
" #T_c0ad0e62_1898_11e7_8836_000129a7b193row7_col0 {\n",
" \n",
" background-color: #f8d0d2;\n",
" \n",
" }\n",
" \n",
" #T_c0ad0e62_1898_11e7_8836_000129a7b193row7_col1 {\n",
" \n",
" background-color: #f8d0d2;\n",
" \n",
" }\n",
" \n",
" #T_c0ad0e62_1898_11e7_8836_000129a7b193row7_col2 {\n",
" \n",
" background-color: #f8d0d2;\n",
" \n",
" }\n",
" \n",
" </style>\n",
"\n",
" <table id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\" None>\n",
" \n",
"\n",
" <thead>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th class=\"blank level0\" >\n",
" \n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col0\" colspan=1>\n",
" neg\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col1\" colspan=1>\n",
" pos\n",
" \n",
" \n",
" \n",
" <th class=\"col_heading level0 col2\" colspan=1>\n",
" Z difference\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </thead>\n",
" <tbody>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row0\" rowspan=1>\n",
" well\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row0_col0\"\n",
" class=\"data row0 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row0_col1\"\n",
" class=\"data row0 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row0_col2\"\n",
" class=\"data row0 col2\" >\n",
" 0.774597\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row1\" rowspan=1>\n",
" win\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row1_col0\"\n",
" class=\"data row1 col0\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row1_col1\"\n",
" class=\"data row1 col1\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row1_col2\"\n",
" class=\"data row1 col2\" >\n",
" 0.774597\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row2\" rowspan=1>\n",
" controversy\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row2_col0\"\n",
" class=\"data row2 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row2_col1\"\n",
" class=\"data row2 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row2_col2\"\n",
" class=\"data row2 col2\" >\n",
" -1.29099\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row3\" rowspan=1>\n",
" fall\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row3_col0\"\n",
" class=\"data row3 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row3_col1\"\n",
" class=\"data row3 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row3_col2\"\n",
" class=\"data row3 col2\" >\n",
" -1.29099\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row4\" rowspan=1>\n",
" lost\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row4_col0\"\n",
" class=\"data row4 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row4_col1\"\n",
" class=\"data row4 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row4_col2\"\n",
" class=\"data row4 col2\" >\n",
" -1.29099\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row5\" rowspan=1>\n",
" relentless\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row5_col0\"\n",
" class=\"data row5 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row5_col1\"\n",
" class=\"data row5 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row5_col2\"\n",
" class=\"data row5 col2\" >\n",
" -1.29099\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row6\" rowspan=1>\n",
" stole\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row6_col0\"\n",
" class=\"data row6 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row6_col1\"\n",
" class=\"data row6 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row6_col2\"\n",
" class=\"data row6 col2\" >\n",
" -1.29099\n",
" \n",
" \n",
" </tr>\n",
" \n",
" <tr>\n",
" \n",
" \n",
" <th id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193\"\n",
" class=\"row_heading level0 row7\" rowspan=1>\n",
" topple\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row7_col0\"\n",
" class=\"data row7 col0\" >\n",
" -0.415037\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row7_col1\"\n",
" class=\"data row7 col1\" >\n",
" -2\n",
" \n",
" \n",
" \n",
" <td id=\"T_c0ad0e62_1898_11e7_8836_000129a7b193row7_col2\"\n",
" class=\"data row7 col2\" >\n",
" -1.29099\n",
" \n",
" \n",
" </tr>\n",
" \n",
" </tbody>\n",
" </table>\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td class=\"sentiment\"><b>Sentiment:</b> <span style=\"color: #4fb075\">positive</span> (<tt>p<sub>pos</sub>=0.988</tt>)</td>\n",
" </tr></tbody>\n",
" </table>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 91,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"HTML(mark_features(sample_segments.iloc[:10]['Speech'], opinion_analyzer))"
]
},
{
"cell_type": "markdown",
"metadata": {
"deletable": true,
"editable": true
},
"source": [
"I'll apply the analyzer to the full set of sample segments and view the result as a histogram of `p_pos` values. We see that the values cluster into only a few selected bins, which probably reflects the low count of relevant features in each sample. It's also worth noting that the values skew toward the negative overall, which is a good sign that it may more closely match my manual evaluations."
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:10:34.551819",
"start_time": "2017-04-03T14:10:30.863089-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [],
"source": [
"df = pd.DataFrame([opinion_analyzer.analyze(s) for s in sample_segments['Speech']], columns=['Classification', 'p_neg', 'p_pos'])\n",
"df.loc[df['p_pos'] == df['p_neg'], 'Classification'] = 'neu'"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:10:49.595872",
"start_time": "2017-04-03T14:10:49.302274-04:00"
},
"collapsed": false,
"deletable": true,
"editable": true
},
"outputs": [
{
"data": {
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UeEZELM7M3UycpT/Szr4lqVcGVw6x9JTZh/OuR2vNz1rnSFsnvBHx5xHxt43lZcBJwA3A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\nBTHUJakghrokFcRQl6SC/D8JN/7QFA8yMAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f78b1337198>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# adapted from http://stackoverflow.com/a/23062183/56541\n",
"axes = df.hist('p_pos', bins=20)\n",
"\n",
"for patch in axes[0][0].patches:\n",
" plt.setp(patch, 'facecolor', highlight_palette(patch.get_x() + patch.get_width() / 2))\n",
" plt.setp(patch, 'edgecolor', 'black')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Cross-validation"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {
"ExecuteTime": {
"end_time": "2017-04-03T18:42:36.225701",
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"def sentiment_row(text):\n",
" sentiment = opinion_analyzer.analyze(text)\n",
" return pd.Series({'Analyzer classification': sentiment.classification == 'pos', 'p_pos': sentiment.p_pos, 'p_neg': sentiment.p_neg})"
]
},
{
"cell_type": "code",
"execution_count": 104,
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"cv_segments_evaluation = pd.DataFrame(cv_segments['Speech'].apply(sentiment_row)).join(cv_segments['Rating'])\n",
"cv_segments_evaluation['Manual classification'] = cv_segments_evaluation['Rating'] > 2\n",
"cv_segments_evaluation['Classifications match'] = cv_segments_evaluation['Analyzer classification'] == cv_segments_evaluation['Manual classification']"
]
},
{
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row70_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row70_col5 {\n",
" \n",
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" \n",
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row71_col0 {\n",
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" \n",
" }\n",
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row71_col1 {\n",
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" \n",
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" \n",
" }\n",
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row71_col4 {\n",
" \n",
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row71_col5 {\n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row72_col0 {\n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row72_col1 {\n",
" \n",
" background-color: #4fb075;\n",
" \n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row72_col2 {\n",
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" \n",
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row72_col3 {\n",
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" \n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row72_col5 {\n",
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row73_col0 {\n",
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" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row73_col1 {\n",
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" \n",
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" \n",
" background-color: #4fb075;\n",
" \n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row73_col3 {\n",
" \n",
" background-color: #4fb075;\n",
" \n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row73_col4 {\n",
" \n",
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" \n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row73_col5 {\n",
" \n",
" background-color: #4fb075;\n",
" \n",
" }\n",
" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row74_col0 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row74_col1 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
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" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row74_col2 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row74_col3 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row74_col4 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_6bbb0ac6_189d_11e7_8836_000129a7b193row74_col5 {\n",
" \n",
" background-color: #ec7d82;\n",
" \n",
" }\n",
" \n",
" #T_6bb
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