GitPatrickHarris/spaCy.py.ipynb

## spaCy.py.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Natural Language Processing with SpaCy and Python "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Blog post located at http://pat.world/nlp-spacy-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#load spacy and create an NLP object by downloading the default model, the English-core-web:\n",
    "import spacy \n",
    "nlp = spacy.load('en')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If your receive the error \"Couldn't link to model en\", than run the following instead:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import spacy\n",
    "#import en_core_web_sm \n",
    "#nlp = spact.load('en_core_web_sm')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define the object document. This is the raw text you'll be processing. \n",
    "\n",
    "In SpaCy, you define your text as the object \"doc\" and can then use SpaCy's linguistic annotation functionalities on the document object. The doc is just a sequence of token objects. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc = nlp(\"And so it is with our own past. It is a labour in vain to attempt to recapture it: all the efforts of our intellect must prove futile.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tokenizing words and sentences"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can access tokenized objects with a for loop:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And\n",
      "so\n",
      "it\n",
      "is\n",
      "with\n",
      "our\n",
      "own\n",
      "past\n",
      ".\n",
      "It\n",
      "is\n",
      "a\n",
      "labour\n",
      "in\n",
      "vain\n",
      "to\n",
      "attempt\n",
      "to\n",
      "recapture\n",
      "it\n",
      ":\n",
      "all\n",
      "the\n",
      "efforts\n",
      "of\n",
      "our\n",
      "intellect\n",
      "must\n",
      "prove\n",
      "futile\n",
      ".\n"
     ]
    }
   ],
   "source": [
    "for token in doc:\n",
    "    print(token.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Break document into sentences:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sentence 1:\n",
      "And so it is with our own past.\n",
      "\n",
      "Sentence 2:\n",
      "It is a labour in vain to attempt to recapture it: all the efforts of our intellect must prove futile.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for num, sentence in enumerate(doc.sents):\n",
    "    print ('Sentence {}:'.format(num + 1))\n",
    "    print (sentence)\n",
    "    print ('')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part of Speech Tagging "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After tokenization, spaCy is able to parse and tag the object Doc. At this point, SpaCy can utilize a model to make a prediction about which tags or labels apply to tokens in their given context. \n",
    "\n",
    "A model is produced by showing a system enough examples for it to make predictions that generalize across the language – for example, a word following \"the\" in English is most likely a noun. \n",
    "\n",
    "Linguistic annotations are available in spaCy as Token attributes. SpaCy encodes all strings to hash values to reduce memory usage and improve efficiency. So to get the readable string representation of an attribute, you need to add an underscore _ to its name. \n",
    "\n",
    "To see the parts of speech for each token, use the token's \"pos_\" attribute:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And CCONJ\n",
      "so ADV\n",
      "it PRON\n",
      "is VERB\n",
      "with ADP\n",
      "our ADJ\n",
      "own ADJ\n",
      "past NOUN\n",
      ". PUNCT\n",
      "It PRON\n",
      "is VERB\n",
      "a DET\n",
      "labour NOUN\n",
      "in ADP\n",
      "vain ADJ\n",
      "to PART\n",
      "attempt VERB\n",
      "to PART\n",
      "recapture VERB\n",
      "it PRON\n",
      ": PUNCT\n",
      "all ADJ\n",
      "the DET\n",
      "efforts NOUN\n",
      "of ADP\n",
      "our ADJ\n",
      "intellect NOUN\n",
      "must VERB\n",
      "prove VERB\n",
      "futile ADJ\n",
      ". PUNCT\n"
     ]
    }
   ],
   "source": [
    "for token in doc:\n",
    "    print(token.text,token.pos_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TEXT</th>\n",
       "      <th>POS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>so</td>\n",
       "      <td>ADV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>it</td>\n",
       "      <td>PRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>is</td>\n",
       "      <td>VERB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>with</td>\n",
       "      <td>ADP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>our</td>\n",
       "      <td>ADJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>own</td>\n",
       "      <td>ADJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>past</td>\n",
       "      <td>NOUN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>.</td>\n",
       "      <td>PUNCT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>It</td>\n",
       "      <td>PRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>is</td>\n",
       "      <td>VERB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>a</td>\n",
       "      <td>DET</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>labour</td>\n",
       "      <td>NOUN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>in</td>\n",
       "      <td>ADP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>vain</td>\n",
       "      <td>ADJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>to</td>\n",
       "      <td>PART</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>attempt</td>\n",
       "      <td>VERB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>to</td>\n",
       "      <td>PART</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>recapture</td>\n",
       "      <td>VERB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>it</td>\n",
       "      <td>PRON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>:</td>\n",
       "      <td>PUNCT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>all</td>\n",
       "      <td>ADJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>the</td>\n",
       "      <td>DET</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>efforts</td>\n",
       "      <td>NOUN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>of</td>\n",
       "      <td>ADP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>our</td>\n",
       "      <td>ADJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>intellect</td>\n",
       "      <td>NOUN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>must</td>\n",
       "      <td>VERB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>prove</td>\n",
       "      <td>VERB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>futile</td>\n",
       "      <td>ADJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>.</td>\n",
       "      <td>PUNCT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         TEXT    POS\n",
       "0          so    ADV\n",
       "1          it   PRON\n",
       "2          is   VERB\n",
       "3        with    ADP\n",
       "4         our    ADJ\n",
       "5         own    ADJ\n",
       "6        past   NOUN\n",
       "7           .  PUNCT\n",
       "8          It   PRON\n",
       "9          is   VERB\n",
       "10          a    DET\n",
       "11     labour   NOUN\n",
       "12         in    ADP\n",
       "13       vain    ADJ\n",
       "14         to   PART\n",
       "15    attempt   VERB\n",
       "16         to   PART\n",
       "17  recapture   VERB\n",
       "18         it   PRON\n",
       "19          :  PUNCT\n",
       "20        all    ADJ\n",
       "21        the    DET\n",
       "22    efforts   NOUN\n",
       "23         of    ADP\n",
       "24        our    ADJ\n",
       "25  intellect   NOUN\n",
       "26       must   VERB\n",
       "27      prove   VERB\n",
       "28     futile    ADJ\n",
       "29          .  PUNCT"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd \n",
    "df = pd.read_clipboard()\n",
    "df.rename(index=str, columns = {\"And\":\"TEXT\", \n",
    "                                \"CCONJ\": \"POS\"})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The rest of the SpaCy's linguistic attributes:\n",
    "\n",
    "Text: The original word text.\n",
    "\n",
    "Lemma: The base form of the word.\n",
    "\n",
    "POS: The simple part-of-speech tag.\n",
    "\n",
    "Tag: The detailed part-of-speech tag.\n",
    "\n",
    "Dep: Syntactic dependency, i.e. the relation between tokens.\n",
    "\n",
    "Shape: The word shape – capitalisation, punctuation, digits.\n",
    "\n",
    "is alpha: Is the token an alpha character?\n",
    "\n",
    "is stop: Is the token part of a stop list, i.e. the most common words of the language?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And and CCONJ CC cc Xxx True\n",
      "so so ADV RB advmod xx True\n",
      "it -PRON- PRON PRP nsubj xx True\n",
      "is be VERB VBZ ROOT xx True\n",
      "with with ADP IN prep xxxx True\n",
      "our -PRON- ADJ PRP$ poss xxx True\n",
      "own own ADJ JJ amod xxx True\n",
      "past past NOUN NN pobj xxxx True\n",
      ". . PUNCT . punct . False\n",
      "It -PRON- PRON PRP nsubj Xx True\n",
      "is be VERB VBZ ccomp xx True\n",
      "a a DET DT det x True\n",
      "labour labour NOUN NN attr xxxx True\n",
      "in in ADP IN prep xx True\n",
      "vain vain ADJ JJ pobj xxxx True\n",
      "to to PART TO aux xx True\n",
      "attempt attempt VERB VB xcomp xxxx True\n",
      "to to PART TO aux xx True\n",
      "recapture recapture VERB VB xcomp xxxx True\n",
      "it -PRON- PRON PRP dobj xx True\n",
      ": : PUNCT : punct : False\n",
      "all all ADJ PDT predet xxx True\n",
      "the the DET DT det xxx True\n",
      "efforts effort NOUN NNS nsubj xxxx True\n",
      "of of ADP IN prep xx True\n",
      "our -PRON- ADJ PRP$ poss xxx True\n",
      "intellect intellect NOUN NN pobj xxxx True\n",
      "must must VERB MD aux xxxx True\n",
      "prove prove VERB VB ROOT xxxx True\n",
      "futile futile ADJ JJ oprd xxxx True\n",
      ". . PUNCT . punct . False\n"
     ]
    }
   ],
   "source": [
    "for token in doc:\n",
    "    print(token.text, token.lemma_, token.pos_, token.tag_, token.dep_,\n",
    "          token.shape_, token.is_alpha)\n",
    "df2 = pd.read_clipboard()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dependency Parsing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "spaCy features a fast and accurate syntactic dependency parser. \n",
    "\n",
    "The syntactic structure of a sentence is described solely in terms of the\n",
    "words (lemmas) in a sentence and an associated set of binary grammatical\n",
    "relations among the words.\n",
    "\n",
    "Relations among the words are illustrated above the sentence with directed, labeled arcs from heads to dependents.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image \n",
    "Image(filename='img/extree.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing Dependencies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from spacy import displacy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[93m    Serving on port 5000...\u001b[0m\n",
      "    Using the 'dep' visualizer\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "127.0.0.1 - - [31/Mar/2018 19:27:35] \"GET / HTTP/1.1\" 200 20736\n",
      "127.0.0.1 - - [31/Mar/2018 19:27:37] \"GET /favicon.ico HTTP/1.1\" 200 20736\n",
      "127.0.0.1 - - [31/Mar/2018 23:10:38] \"GET / HTTP/1.1\" 200 20736\n",
      "127.0.0.1 - - [31/Mar/2018 23:10:40] \"GET /favicon.ico HTTP/1.1\" 200 20736\n"
     ]
    }
   ],
   "source": [
    "displacy.serve(doc, style='dep') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This will serve a dependency tree of your doc object to port 5000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 22,
     "metadata": {
      "image/png": {
       "height": 1000,
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image \n",
    "Image(filename='img/dtree.png', width=600, height=1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Named Entity Recognition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A named entity is a real world object that's assigned a name. \n",
    "\n",
    "Entities can also be accessed through a for loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sergey Brin\n",
      "Larry Page\n",
      "Google\n",
      "1998\n",
      "Stanford University\n"
     ]
    }
   ],
   "source": [
    "doc = nlp(u'Sergey Brin and Larry Page founded Google in 1998 while they were students at Stanford University')\n",
    "\n",
    "for ent in doc.ents:\n",
    "    print(ent.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"entities\" style=\"line-height: 2.5\">\n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em; box-decoration-break: clone; -webkit-box-decoration-break: clone\">\n",
       "    Sergey Brin\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " and \n",
       "<mark class=\"entity\" style=\"background: #aa9cfc; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em; box-decoration-break: clone; -webkit-box-decoration-break: clone\">\n",
       "    Larry Page\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">PERSON</span>\n",
       "</mark>\n",
       " founded \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em; box-decoration-break: clone; -webkit-box-decoration-break: clone\">\n",
       "    Google\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       " in \n",
       "<mark class=\"entity\" style=\"background: #bfe1d9; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em; box-decoration-break: clone; -webkit-box-decoration-break: clone\">\n",
       "    1998\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">DATE</span>\n",
       "</mark>\n",
       " while they were students at \n",
       "<mark class=\"entity\" style=\"background: #7aecec; padding: 0.45em 0.6em; margin: 0 0.25em; line-height: 1; border-radius: 0.35em; box-decoration-break: clone; -webkit-box-decoration-break: clone\">\n",
       "    Stanford University\n",
       "    <span style=\"font-size: 0.8em; font-weight: bold; line-height: 1; border-radius: 0.35em; text-transform: uppercase; vertical-align: middle; margin-left: 0.5rem\">ORG</span>\n",
       "</mark>\n",
       "</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "displacy.render(doc, style='ent', jupyter=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring a larger corpus "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from collections import Counter\n",
    "from glob import glob\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.decomposition import TruncatedSVD\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "\n",
    "# Display plots in this notebook, instead of externally. \n",
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = 24, 16\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at the screenplasy for Good Will Hunting \n",
    "https://finearts.uvic.ca/writing/websites/writ218/screenplays/award_winning/good_will_hunting.html.\n",
    "Read the raw text then define the corpus as the object doc:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwh_raw = open('gwh.txt').read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwh = nlp(gwh_raw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "# Good Will Hunting\n",
       "\n",
       "an Original Script\n",
       "\n",
       "by Matt Damon and Ben Affleck"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwh[:15]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can make a dispersion plot for the occurrences of words in the script:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "def locations(needle, haystack): \n",
    "  \n",
    "    return pd.Series(np.histogram(\n",
    "        [word.i for word in haystack \n",
    "         if word.text.lower() == needle], bins=50)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<matplotlib.axes._subplots.AxesSubplot object at 0x122dd78d0>,\n",
       "       <matplotlib.axes._subplots.AxesSubplot object at 0x1211009e8>],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame(\n",
    "    {name: locations(name.lower(), gwh) \n",
    "     for name in ['Will', 'Sean']}).plot(subplots=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sifting through the text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find parts of speech"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{83: 'ADJ',\n",
       " 84: 'ADP',\n",
       " 85: 'ADV',\n",
       " 88: 'CCONJ',\n",
       " 89: 'DET',\n",
       " 90: 'INTJ',\n",
       " 91: 'NOUN',\n",
       " 92: 'NUM',\n",
       " 93: 'PART',\n",
       " 94: 'PRON',\n",
       " 95: 'PROPN',\n",
       " 96: 'PUNCT',\n",
       " 98: 'SYM',\n",
       " 99: 'VERB',\n",
       " 100: 'X',\n",
       " 102: 'SPACE'}"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tagDict = {w.pos: w.pos_ for w in gwh} \n",
    "tagDict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets find, say, the most common pronouns used in the screenplay:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('I', 659),\n",
       " ('you', 594),\n",
       " ('it', 204),\n",
       " ('You', 162),\n",
       " ('me', 147),\n",
       " ('he', 138),\n",
       " ('He', 96),\n",
       " ('It', 77),\n",
       " ('him', 77),\n",
       " ('we', 75)]"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwhAdjs = [w for w in gwh if w.pos_ == 'PRON']\n",
    "Counter([w.string.strip() for w in gwhAdjs]).most_common(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display the distribution of the parts of speech:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1246586a0>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gwh_POS = pd.Series(gwh.count_by(spacy.attrs.POS))/len(gwh)\n",
    "\n",
    "rcParams['figure.figsize'] = 16, 8\n",
    "df = pd.DataFrame([gwh_POS], index=['GWH'])\n",
    "df.columns = [tagDict[column] for column in df.columns]\n",
    "df.T.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets find the most frequently mentioned characters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('', 96),\n",
       " ('Morgan', 40),\n",
       " ('SKYLAR', 28),\n",
       " ('Will', 25),\n",
       " ('Billy', 19),\n",
       " ('Chuckie', 19),\n",
       " ('Tom', 17),\n",
       " ('Gerry', 17),\n",
       " ('Clark', 16),\n",
       " ('INT', 10)]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter([w.string.strip() for w in gwh.ents if w.label_ == 'PERSON']).most_common(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now lets find all mentions of the character Skylar, Will's girlfriend. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "skylarMentions = [sent for sent in gwh.sents if 'Skylar' in sent.string]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[He [Clark] walks over to Skylar and Lydia, nobly hovering over them as\n",
       "     protector., When Clark looks back to Chuckie, Skylar turns to Lydia and\n",
       "     rolls her [own] eyes., Will catches Skylar's eye.\n",
       "     \n",
       "                             , Skylar emerges from the crowd and approaches Will.\n",
       "     \n",
       "                             , SKYLAR\n",
       "                Skylar., Skylar produces a folded piece of paper and offers it to Will.\n",
       "     \n",
       "                             , Hey, Skylar?\n",
       "     \n",
       "     INT., Will and Skylar on their first date., Will gives Skylar a look and\n",
       "     they move on.\n",
       "     \n",
       "                                                            , TOY STORE -- LATER\n",
       "     \n",
       "     Will and Skylar walk into the small shop.\n",
       "     \n",
       "                             , Skylar laughs.\n",
       "     \n",
       "                             , DINER: \"THE TASTY\" -- NIGHT\n",
       "     \n",
       "     A FRY COOK hands Will and Skylar a pair of CHEESEBURGERS.\n",
       "     \n",
       "                             , Will and Skylar sit in the stands watching the dogs run., Skylar smiles.\n",
       "     \n",
       "                             , The door to Skylar's dorm is partially open., Will stands\n",
       "     outside while Skylar remains on the threshold.\n",
       "     \n",
       "                             , He stops\n",
       "     at Skylar's dorm and knocks on the door.\n",
       "     \n",
       "                                                            , Will and Skylar in her room, post coital., LATER\n",
       "     \n",
       "     Skylar and Will sit together along with Will's gang., , I can't believe you brought Skylar\n",
       "                here when we're all wrecked., Skylar speaks above the din.\n",
       "     \n",
       "                             , Chuckie goes over\n",
       "     to Will and Skylar.\n",
       "     \n",
       "                             , Will and Skylar sit in the open courtyard of this Harvard Square\n",
       "     eatery., Skylar is working on another O-chem lab., Skylar is awestruck with admiration for Will, the Robot-pimp.\n",
       "     , So much so that Skylar has to kiss him, then push him away.\n",
       "     \n",
       "                             , It's Skylar.\n",
       "     \n",
       "                             , CHUCKIE'S STREET -- DAY\n",
       "     \n",
       "     Chuckie, still in his boxers walks with Skylar who is talking.\n",
       "     \n",
       "                             , Will and Skylar lie in bed., Skylar watches Will sleep., Will looks Skylar dead in the eye., Will is on pay phone talking to Skylar.\n",
       "     \n",
       "                             , SAME\n",
       "     \n",
       "     Skylar stands at the gate, carry-ons in hand., After a beat, Skylar turns and gets on the plane.\n",
       "     \n",
       "                                                        , WILL (cont'd)\n",
       "                Is that why me and Skylar broke up?\n",
       "     \n",
       "                             ]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skylarMentions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a function to find adjectives associated with a particular character:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "def adjectivesDescribingCharacters(text, character):\n",
    "    sents = [sent for sent in text.sents if character in sent.string]\n",
    "    adjectives = []\n",
    "    for sent in sents: \n",
    "        for word in sent: \n",
    "            if character in word.string:\n",
    "                for child in word.children: \n",
    "                    if child.pos_ == 'ADJ': \n",
    "                        adjectives.append(child.string.strip())\n",
    "    return Counter(adjectives).most_common(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('SAME', 1), ('surprised', 1)]"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adjectivesDescribingCharacters(gwh, 'Will')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('fine', 1)]"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adjectivesDescribingCharacters(gwh, 'Morgan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [],
   "source": [
    "def verbsForCharacters(text, character):\n",
    "    sents = [sent for sent in gwh.sents if character in sent.string]\n",
    "    charWords = []\n",
    "    for sent in sents: \n",
    "        for word in sent: \n",
    "            if character in word.string: \n",
    "                charWords.append(word)\n",
    "    charAdjectives = []\n",
    "    for word in charWords: \n",
    "        # Start walking up the list of ancestors \n",
    "        # Until we get to the first verb. \n",
    "        for ancestor in word.ancestors: \n",
    "            if ancestor.pos_.startswith('V'): \n",
    "                charAdjectives.append(ancestor.lemma_.strip())\n",
    "    return Counter(charAdjectives).most_common(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "skylarVerbs = verbsForCharacters(gwh, 'Skylar')\n",
    "willVerbs = verbsForCharacters(gwh, 'Will')\n",
    "morganVerbs = verbsForCharacters(gwh, 'Morgan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1250ec940>"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def verbsToMatrix(verbCounts): \n",
    "    return pd.Series({t[0]: t[1] for t in verbCounts})\n",
    "\n",
    "verbsDF = pd.DataFrame({'Will': verbsToMatrix(willVerbs), \n",
    "                        'Skylar': verbsToMatrix(skylarVerbs), \n",
    "                        'Morgan': verbsToMatrix(morganVerbs)}).fillna(0)\n",
    "verbsDF.plot(kind='bar', figsize=(14,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Word Vectors "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get first 100 nouns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwh_nouns = [word for word in gwh if word.pos_.startswith('N')][:100]#"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get labels and vectors for each"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "gwhNounVecs = [word.vector for word in gwh_nouns]\n",
    "gwhNounLabels = [word.string.strip() for word in gwh_nouns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(384,)"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gwhNounVecs[0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "lsa = TruncatedSVD(n_components=2)\n",
    "lsa_out = lsa.fit_transform(gwnNounVecs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graph the word distribution as a scatter plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "ename": "IndexError",
     "evalue": "list index out of range",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-195-46de292bf664>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxs\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      3\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mys\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mannotate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgwhNounLabels\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mxs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mys\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\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[0m",
      "\u001b[0;31mIndexError\u001b[0m: list index out of range"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xs, ys = lsa_out[:,0], lsa_out[:,1]\n",
    "for i in range(len(xs)): \n",
    "    plt.scatter(xs[i], ys[i])\n",
    "    plt.annotate(gwhNounLabels[i], (xs[i], ys[i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}