JamesPHoughton/Correlates of Retweets.ipynb

## Correlates of Retweets.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlates of retweets\n",
    "How does the level of retweets vary with several text readability/quality filters?\n",
    "\n",
    "Uses:\n",
    "- https://pypi.org/project/textstat/\n",
    "- https://pypi.org/project/language-check/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "import json\n",
    "import pandas as pd\n",
    "import dateutil\n",
    "import nltk\n",
    "import numpy as np\n",
    "import textstat\n",
    "import seaborn\n",
    "import language_check\n",
    "nltk.download('punkt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'status_id': '997577906007298048',\n",
       " 'created_at': '2018-05-18 20:41:21',\n",
       " 'user_id': '25073877',\n",
       " 'screen_name': 'realDonaldTrump',\n",
       " 'text': 'Just met with UN Secretary-General Antnio Guterres who is working hard to Make the United Nations Great Again. When the UN does more to solve conflicts around the world, it means the U.S. has less to do and we save money. @NikkiHaley is doing a fantastic job! https://t.co/pqUv6cyH2z',\n",
       " 'source': 'Twitter for iPhone',\n",
       " 'is_quote': False,\n",
       " 'is_retweet': False,\n",
       " 'favorite_count': 4550,\n",
       " 'retweet_count': 1114,\n",
       " 'hashtags': [None],\n",
       " 'symbols': [None],\n",
       " 'urls_url': [None],\n",
       " 'urls_t.co': [None],\n",
       " 'urls_expanded_url': [None],\n",
       " 'media_url': ['http://pbs.twimg.com/media/DdgbzxVWsAAPzBL.jpg'],\n",
       " 'media_t.co': ['https://t.co/pqUv6cyH2z'],\n",
       " 'media_expanded_url': ['https://twitter.com/realDonaldTrump/status/997577906007298048/photo/1'],\n",
       " 'media_type': ['photo'],\n",
       " 'ext_media_url': ['http://pbs.twimg.com/media/DdgbzxVWsAAPzBL.jpg'],\n",
       " 'ext_media_t.co': ['https://t.co/pqUv6cyH2z'],\n",
       " 'ext_media_expanded_url': ['https://twitter.com/realDonaldTrump/status/997577906007298048/photo/1'],\n",
       " 'mentions_user_id': ['37666984'],\n",
       " 'mentions_screen_name': ['nikkihaley'],\n",
       " 'lang': 'en',\n",
       " 'geo_coords': ['NA', 'NA'],\n",
       " 'coords_coords': ['NA', 'NA'],\n",
       " 'bbox_coords': ['NA', 'NA', 'NA', 'NA', 'NA', 'NA', 'NA', 'NA']}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with open('Trump_Tweets.json', encoding='utf8', errors='ignore') as f:\n",
    "    res = json.load(f)\n",
    "res[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>text</th>\n",
       "      <th>mentions_screen_name</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>tokens</th>\n",
       "      <th>flesch</th>\n",
       "      <th>difficult</th>\n",
       "      <th>grade</th>\n",
       "      <th>num_errs</th>\n",
       "      <th>log_rt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-18 20:41:21</th>\n",
       "      <td>Just met with UN Secretary-General Antnio Gute...</td>\n",
       "      <td>[nikkihaley]</td>\n",
       "      <td>[None]</td>\n",
       "      <td>1114</td>\n",
       "      <td>[just, met, with, un, secretary-general, antni...</td>\n",
       "      <td>64.04</td>\n",
       "      <td>9</td>\n",
       "      <td>10.3</td>\n",
       "      <td>3</td>\n",
       "      <td>7.015712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-18 20:22:25</th>\n",
       "      <td>America is a Nation that believes in the power...</td>\n",
       "      <td>[None]</td>\n",
       "      <td>[PrisonReform]</td>\n",
       "      <td>2668</td>\n",
       "      <td>[america, is, a, nation, that, believes, in, t...</td>\n",
       "      <td>52.70</td>\n",
       "      <td>5</td>\n",
       "      <td>10.5</td>\n",
       "      <td>0</td>\n",
       "      <td>7.889084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-18 20:02:49</th>\n",
       "      <td>RT @SteveForbesCEO: .@realDonaldTrump speech o...</td>\n",
       "      <td>[SteveForbesCEO, realDonaldTrump, Amgen]</td>\n",
       "      <td>[None]</td>\n",
       "      <td>1697</td>\n",
       "      <td>[rt, @, steveforbesceo, :, ., @, realdonaldtru...</td>\n",
       "      <td>52.87</td>\n",
       "      <td>7</td>\n",
       "      <td>8.4</td>\n",
       "      <td>5</td>\n",
       "      <td>7.436617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-18 16:34:24</th>\n",
       "      <td>We grieve for the terrible loss of life, and s...</td>\n",
       "      <td>[None]</td>\n",
       "      <td>[None]</td>\n",
       "      <td>10606</td>\n",
       "      <td>[we, grieve, for, the, terrible, loss, of, lif...</td>\n",
       "      <td>54.05</td>\n",
       "      <td>10</td>\n",
       "      <td>12.1</td>\n",
       "      <td>1</td>\n",
       "      <td>9.269175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-18 15:05:35</th>\n",
       "      <td>School shooting in Texas. Early reports not lo...</td>\n",
       "      <td>[None]</td>\n",
       "      <td>[None]</td>\n",
       "      <td>14208</td>\n",
       "      <td>[school, shooting, in, texas, ., early, report...</td>\n",
       "      <td>92.80</td>\n",
       "      <td>3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2</td>\n",
       "      <td>9.561560</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                  text  \\\n",
       "created_at                                                               \n",
       "2018-05-18 20:41:21  Just met with UN Secretary-General Antnio Gute...   \n",
       "2018-05-18 20:22:25  America is a Nation that believes in the power...   \n",
       "2018-05-18 20:02:49  RT @SteveForbesCEO: .@realDonaldTrump speech o...   \n",
       "2018-05-18 16:34:24  We grieve for the terrible loss of life, and s...   \n",
       "2018-05-18 15:05:35  School shooting in Texas. Early reports not lo...   \n",
       "\n",
       "                                         mentions_screen_name        hashtags  \\\n",
       "created_at                                                                      \n",
       "2018-05-18 20:41:21                              [nikkihaley]          [None]   \n",
       "2018-05-18 20:22:25                                    [None]  [PrisonReform]   \n",
       "2018-05-18 20:02:49  [SteveForbesCEO, realDonaldTrump, Amgen]          [None]   \n",
       "2018-05-18 16:34:24                                    [None]          [None]   \n",
       "2018-05-18 15:05:35                                    [None]          [None]   \n",
       "\n",
       "                     retweet_count  \\\n",
       "created_at                           \n",
       "2018-05-18 20:41:21           1114   \n",
       "2018-05-18 20:22:25           2668   \n",
       "2018-05-18 20:02:49           1697   \n",
       "2018-05-18 16:34:24          10606   \n",
       "2018-05-18 15:05:35          14208   \n",
       "\n",
       "                                                                tokens  \\\n",
       "created_at                                                               \n",
       "2018-05-18 20:41:21  [just, met, with, un, secretary-general, antni...   \n",
       "2018-05-18 20:22:25  [america, is, a, nation, that, believes, in, t...   \n",
       "2018-05-18 20:02:49  [rt, @, steveforbesceo, :, ., @, realdonaldtru...   \n",
       "2018-05-18 16:34:24  [we, grieve, for, the, terrible, loss, of, lif...   \n",
       "2018-05-18 15:05:35  [school, shooting, in, texas, ., early, report...   \n",
       "\n",
       "                     flesch  difficult  grade  num_errs    log_rt  \n",
       "created_at                                                         \n",
       "2018-05-18 20:41:21   64.04          9   10.3         3  7.015712  \n",
       "2018-05-18 20:22:25   52.70          5   10.5         0  7.889084  \n",
       "2018-05-18 20:02:49   52.87          7    8.4         5  7.436617  \n",
       "2018-05-18 16:34:24   54.05         10   12.1         1  9.269175  \n",
       "2018-05-18 15:05:35   92.80          3    1.3         2  9.561560  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "language_tool = language_check.LanguageTool('en-US')\n",
    "\n",
    "\n",
    "collector = []\n",
    "for tweet in res:\n",
    "    collector.append({\n",
    "        'created_at': tweet['created_at'],\n",
    "        'text': tweet['text'],\n",
    "        'mentions_screen_name': tweet['mentions_screen_name'],\n",
    "        'hashtags': tweet['hashtags'],\n",
    "        'retweet_count': tweet['retweet_count']\n",
    "    })\n",
    "df = pd.DataFrame(collector)\n",
    "\n",
    "df['created_at'] = df['created_at'].apply(lambda x: dateutil.parser.parse(x))\n",
    "df['tokens'] = df['text'].apply(lambda x: nltk.word_tokenize(x.lower()))\n",
    "df['flesch'] = df['text'].apply(lambda x: textstat.flesch_reading_ease(x))\n",
    "df['difficult'] = df['text'].apply(lambda x: textstat.difficult_words(x))\n",
    "df['grade'] = df['text'].apply(lambda x: textstat.flesch_kincaid_grade(x))\n",
    "df['num_errs'] = df['text'].apply(lambda x: len(language_tool.check(x)))\n",
    "df['log_rt'] = np.log(df['retweet_count'])\n",
    "\n",
    "df.set_index('created_at', inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Retweets')"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_tests#Flesch_reading_ease\n",
    "seaborn.regplot(x='flesch', y='retweet_count', data=df[['flesch','retweet_count']], marker=\"+\")\n",
    "plt.ylim(0,100000)\n",
    "plt.xlim(-200, 150)\n",
    "plt.xlabel('Flesch Reading Ease (higher is easier)')\n",
    "plt.ylabel('Retweets')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Retweets')"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "seaborn.regplot(x='difficult', y='retweet_count', data=df[['difficult','retweet_count']], marker=\"+\")\n",
    "plt.ylim(0,100000)\n",
    "plt.xlabel('Number of \"Difficult\" words')\n",
    "plt.ylabel('Retweets')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Retweets')"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_tests#Flesch%E2%80%93Kincaid_grade_level\n",
    "seaborn.regplot(x='grade', y='retweet_count', data=df[['grade','retweet_count']], marker=\"+\")\n",
    "plt.ylim(0,100000)\n",
    "plt.xlabel('Flesch Kincaid Grade Level')\n",
    "plt.ylabel('Retweets')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Retweets')"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "seaborn.regplot(x='num_errs', y='retweet_count', data=df[['num_errs','retweet_count']], marker=\"+\")\n",
    "plt.ylim(0,100000)\n",
    "plt.xlabel('Number of Grammatical Errors')\n",
    "plt.ylabel('Retweets')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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