twitter_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "da3d8637",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from nltk.book import FreqDist"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Load tweets"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "871\n"
     ]
    },
    {
     "data": {
      "text/plain": "    created_at            id               id_str  \\\n0   1668804104  1.593706e+18  1593706040444469248   \n1   1668794867  1.593667e+18  1593667298904231937   \n2   1668791114  1.593652e+18  1593651558474039301   \n3   1668703978  1.593286e+18  1593286083294515201   \n4   1668677472  1.593175e+18  1593174910117216256   \n..         ...           ...                  ...   \n95  1634993856  1.451896e+18  1451895581396373507   \n96  1634912262  1.451553e+18  1451553354459619331   \n97  1634901909  1.451510e+18  1451509930213642255   \n98  1634892545  1.451471e+18  1451470653719302171   \n99  1634830658  1.451211e+18  1451211082375352325   \n\n                                            full_text  truncated  \\\n0   RT @USAmbKyiv: From defending Ukraine with the...      False   \n1   Met with @USEmbassyKyiv Ambassador Bridget Bri...      False   \n2   Heartbreaking photo from Bakhmut, Donetsk regi...      False   \n3   Despite cruise missiles up in the sky &amp; ne...      False   \n4   Meanwhile another massive missile attack. Morn...      False   \n..                                                ...        ...   \n95  Cybersecurity, innovations and data protection...      False   \n96  RT @Pierr_Person: Avec @FedorovMykhailo, Vice-...      False   \n97  On behalf of Ukraine jointly with @UKRinFRA pa...      False   \n98  Отримати пенсію чи субсидію в кілька кліків: я...      False   \n99  In Paris our delegation met with general direc...      False   \n\n    display_text_range                                           entities  \\\n0                  140  list(hashtags = list(text = NA, indices = list...   \n1                  248  list(hashtags = list(text = NA, indices = list...   \n2                  213  list(hashtags = list(text = NA, indices = list...   \n3                  284  list(hashtags = list(text = NA, indices = list...   \n4                  195  list(hashtags = list(text = NA, indices = list...   \n..                 ...                                                ...   \n95                 214  list(hashtags = list(text = NA, indices = list...   \n96                 140  list(hashtags = list(text = NA, indices = list...   \n97                 277  list(hashtags = list(text = NA, indices = list...   \n98                 273  list(hashtags = list(text = NA, indices = list...   \n99                 276  list(hashtags = list(text = NA, indices = list...   \n\n                                               source  in_reply_to_status_id  \\\n0   <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n1   <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n2   <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n3   <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n4   <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n..                                                ...                    ...   \n95  <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n96  <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n97  <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n98  <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n99  <a href=\"http://twitter.com/download/iphone\" r...                    NaN   \n\n    in_reply_to_status_id_str  ...  quote_count  timestamp_ms reply_count  \\\n0                         NaN  ...          NaN           NaN         NaN   \n1                         NaN  ...          NaN           NaN         NaN   \n2                         NaN  ...          NaN           NaN         NaN   \n3                         NaN  ...          NaN           NaN         NaN   \n4                         NaN  ...          NaN           NaN         NaN   \n..                        ...  ...          ...           ...         ...   \n95                        NaN  ...          NaN           NaN         NaN   \n96                        NaN  ...          NaN           NaN         NaN   \n97                        NaN  ...          NaN           NaN         NaN   \n98                        NaN  ...          NaN           NaN         NaN   \n99                        NaN  ...          NaN           NaN         NaN   \n\n    filter_level metadata query  withheld_scope withheld_copyright  \\\n0            NaN      NaN   NaN             NaN                NaN   \n1            NaN      NaN   NaN             NaN                NaN   \n2            NaN      NaN   NaN             NaN                NaN   \n3            NaN      NaN   NaN             NaN                NaN   \n4            NaN      NaN   NaN             NaN                NaN   \n..           ...      ...   ...             ...                ...   \n95           NaN      NaN   NaN             NaN                NaN   \n96           NaN      NaN   NaN             NaN                NaN   \n97           NaN      NaN   NaN             NaN                NaN   \n98           NaN      NaN   NaN             NaN                NaN   \n99           NaN      NaN   NaN             NaN                NaN   \n\n    withheld_in_countries  possibly_sensitive_appealable  \n0                     NaN                            NaN  \n1                     NaN                            NaN  \n2                     NaN                            NaN  \n3                     NaN                            NaN  \n4                     NaN                            NaN  \n..                    ...                            ...  \n95                    NaN                            NaN  \n96                    NaN                            NaN  \n97                    NaN                            NaN  \n98                    NaN                            NaN  \n99                    NaN                            NaN  \n\n[600 rows x 43 columns]",
      "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>created_at</th>\n      <th>id</th>\n      <th>id_str</th>\n      <th>full_text</th>\n      <th>truncated</th>\n      <th>display_text_range</th>\n      <th>entities</th>\n      <th>source</th>\n      <th>in_reply_to_status_id</th>\n      <th>in_reply_to_status_id_str</th>\n      <th>...</th>\n      <th>quote_count</th>\n      <th>timestamp_ms</th>\n      <th>reply_count</th>\n      <th>filter_level</th>\n      <th>metadata</th>\n      <th>query</th>\n      <th>withheld_scope</th>\n      <th>withheld_copyright</th>\n      <th>withheld_in_countries</th>\n      <th>possibly_sensitive_appealable</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1668804104</td>\n      <td>1.593706e+18</td>\n      <td>1593706040444469248</td>\n      <td>RT @USAmbKyiv: From defending Ukraine with the...</td>\n      <td>False</td>\n      <td>140</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1668794867</td>\n      <td>1.593667e+18</td>\n      <td>1593667298904231937</td>\n      <td>Met with @USEmbassyKyiv Ambassador Bridget Bri...</td>\n      <td>False</td>\n      <td>248</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1668791114</td>\n      <td>1.593652e+18</td>\n      <td>1593651558474039301</td>\n      <td>Heartbreaking photo from Bakhmut, Donetsk regi...</td>\n      <td>False</td>\n      <td>213</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1668703978</td>\n      <td>1.593286e+18</td>\n      <td>1593286083294515201</td>\n      <td>Despite cruise missiles up in the sky &amp;amp; ne...</td>\n      <td>False</td>\n      <td>284</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1668677472</td>\n      <td>1.593175e+18</td>\n      <td>1593174910117216256</td>\n      <td>Meanwhile another massive missile attack. Morn...</td>\n      <td>False</td>\n      <td>195</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>1634993856</td>\n      <td>1.451896e+18</td>\n      <td>1451895581396373507</td>\n      <td>Cybersecurity, innovations and data protection...</td>\n      <td>False</td>\n      <td>214</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>1634912262</td>\n      <td>1.451553e+18</td>\n      <td>1451553354459619331</td>\n      <td>RT @Pierr_Person: Avec @FedorovMykhailo, Vice-...</td>\n      <td>False</td>\n      <td>140</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>1634901909</td>\n      <td>1.451510e+18</td>\n      <td>1451509930213642255</td>\n      <td>On behalf of Ukraine jointly with @UKRinFRA pa...</td>\n      <td>False</td>\n      <td>277</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>1634892545</td>\n      <td>1.451471e+18</td>\n      <td>1451470653719302171</td>\n      <td>Отримати пенсію чи субсидію в кілька кліків: я...</td>\n      <td>False</td>\n      <td>273</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>1634830658</td>\n      <td>1.451211e+18</td>\n      <td>1451211082375352325</td>\n      <td>In Paris our delegation met with general direc...</td>\n      <td>False</td>\n      <td>276</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>600 rows × 43 columns</p>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Load Federov Tweets\n",
    "f = open(\"tweets\\\\0-3200FedorovMykhailo.csv\", encoding='utf-8')\n",
    "print(len(f.readlines()))\n",
    "tweets_df = pd.read_csv(\"tweets\\\\0-3200FedorovMykhailo.csv\", encoding=\"utf-8\")\n",
    "tweets_df = pd.concat([tweets_df, pd.read_csv(\"tweets\\\\3200-6400FedorovMykhailo.csv\", encoding=\"utf-8\")], axis=0)\n",
    "tweets_df = pd.concat([tweets_df, pd.read_csv(\"tweets\\\\6400-9600FedorovMykhailo.csv\", encoding=\"utf-8\")], axis=0)\n",
    "tweets_df = pd.concat([tweets_df, pd.read_csv(\"tweets\\\\9600-12800FedorovMykhailo.csv\", encoding=\"utf-8\")], axis=0)\n",
    "tweets_df = pd.concat([tweets_df, pd.read_csv(\"tweets\\\\12800-16000FedorovMykhailo.csv\", encoding=\"utf-8\")], axis=0)\n",
    "tweets_df = pd.concat([tweets_df, pd.read_csv(\"tweets\\\\16000-19200FedorovMykhailo.csv\", encoding=\"utf-8\")], axis=0)\n",
    "tweets_df"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [
    {
     "data": {
      "text/plain": "      created_at            id               id_str  \\\n0     1668110111  1.590795e+18  1590795223952928769   \n1     1668110107  1.590795e+18  1590795208286818304   \n2     1668097648  1.590743e+18  1590742949406867456   \n3     1668097644  1.590743e+18  1590742934168621059   \n4     1668086999  1.590698e+18  1590698284753879040   \n...          ...           ...                  ...   \n2573  1557323776  1.126124e+18  1126123657258983429   \n2574  1557232658  1.125741e+18  1125741479341764609   \n2575  1557229747  1.125729e+18  1125729269135683584   \n2576  1557227399  1.125719e+18  1125719421413146624   \n2577  1556192768  1.121380e+18  1121379865289285632   \n\n                                              full_text  truncated  \\\n0     Thank you @POTUS &amp; friendly 🇺🇸 people for ...      False   \n1     Дякую @POTUS і дружньому 🇺🇸 народові за чергов...      False   \n2     I had a phone call with @JustinTrudeau. Thanke...      False   \n3     Поговорив телефоном із @JustinTrudeau. Подякув...      False   \n4     I had a phone call with 🇬🇧 PM @RishiSunak. We ...      False   \n...                                                 ...        ...   \n2573  Сьогодні в Запоріжжі. Іван Залужний, капітан п...      False   \n2574  У рамках анонсованих зустрічей із підприємцями...      False   \n2575  Під час зустрічі з єврокомісаром @JHahnEU обго...      False   \n2576  Вчора мав зустріч з главою Української греко-к...      False   \n2577  Привіт, Україно! Привіт, Світ! Це — мій офіцій...      False   \n\n      display_text_range                                           entities  \\\n0                    288  list(hashtags = list(text = NA, indices = list...   \n1                    245  list(hashtags = list(text = NA, indices = list...   \n2                    272  list(hashtags = list(text = c(\"G20\", \"UN\"), in...   \n3                    253  list(hashtags = list(text = c(\"G20\", \"ООН\"), i...   \n4                    276  list(hashtags = list(text = NA, indices = list...   \n...                  ...                                                ...   \n2573                 278  list(hashtags = list(text = NA, indices = list...   \n2574                 165  list(hashtags = list(text = NA, indices = list...   \n2575                 203  list(hashtags = list(text = NA, indices = list...   \n2576                 237  list(hashtags = list(text = NA, indices = list...   \n2577                 124  list(hashtags = list(text = NA, indices = list...   \n\n                                                 source  \\\n0     <a href=\"https://mobile.twitter.com\" rel=\"nofo...   \n1     <a href=\"https://mobile.twitter.com\" rel=\"nofo...   \n2     <a href=\"https://mobile.twitter.com\" rel=\"nofo...   \n3     <a href=\"https://mobile.twitter.com\" rel=\"nofo...   \n4     <a href=\"https://mobile.twitter.com\" rel=\"nofo...   \n...                                                 ...   \n2573  <a href=\"http://twitter.com/download/iphone\" r...   \n2574  <a href=\"http://twitter.com/download/iphone\" r...   \n2575  <a href=\"http://twitter.com/download/iphone\" r...   \n2576  <a href=\"http://twitter.com/download/iphone\" r...   \n2577  <a href=\"http://twitter.com/download/iphone\" r...   \n\n      in_reply_to_status_id  in_reply_to_status_id_str  ...  quote_count  \\\n0                       NaN                        NaN  ...          NaN   \n1                       NaN                        NaN  ...          NaN   \n2                       NaN                        NaN  ...          NaN   \n3                       NaN                        NaN  ...          NaN   \n4                       NaN                        NaN  ...          NaN   \n...                     ...                        ...  ...          ...   \n2573                    NaN                        NaN  ...          NaN   \n2574                    NaN                        NaN  ...          NaN   \n2575                    NaN                        NaN  ...          NaN   \n2576                    NaN                        NaN  ...          NaN   \n2577                    NaN                        NaN  ...          NaN   \n\n      timestamp_ms reply_count  filter_level metadata query  withheld_scope  \\\n0              NaN         NaN           NaN      NaN   NaN             NaN   \n1              NaN         NaN           NaN      NaN   NaN             NaN   \n2              NaN         NaN           NaN      NaN   NaN             NaN   \n3              NaN         NaN           NaN      NaN   NaN             NaN   \n4              NaN         NaN           NaN      NaN   NaN             NaN   \n...            ...         ...           ...      ...   ...             ...   \n2573           NaN         NaN           NaN      NaN   NaN             NaN   \n2574           NaN         NaN           NaN      NaN   NaN             NaN   \n2575           NaN         NaN           NaN      NaN   NaN             NaN   \n2576           NaN         NaN           NaN      NaN   NaN             NaN   \n2577           NaN         NaN           NaN      NaN   NaN             NaN   \n\n      withheld_copyright  withheld_in_countries  possibly_sensitive_appealable  \n0                    NaN                    NaN                            NaN  \n1                    NaN                    NaN                            NaN  \n2                    NaN                    NaN                            NaN  \n3                    NaN                    NaN                            NaN  \n4                    NaN                    NaN                            NaN  \n...                  ...                    ...                            ...  \n2573                 NaN                    NaN                            NaN  \n2574                 NaN                    NaN                            NaN  \n2575                 NaN                    NaN                            NaN  \n2576                 NaN                    NaN                            NaN  \n2577                 NaN                    NaN                            NaN  \n\n[2578 rows x 43 columns]",
      "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>created_at</th>\n      <th>id</th>\n      <th>id_str</th>\n      <th>full_text</th>\n      <th>truncated</th>\n      <th>display_text_range</th>\n      <th>entities</th>\n      <th>source</th>\n      <th>in_reply_to_status_id</th>\n      <th>in_reply_to_status_id_str</th>\n      <th>...</th>\n      <th>quote_count</th>\n      <th>timestamp_ms</th>\n      <th>reply_count</th>\n      <th>filter_level</th>\n      <th>metadata</th>\n      <th>query</th>\n      <th>withheld_scope</th>\n      <th>withheld_copyright</th>\n      <th>withheld_in_countries</th>\n      <th>possibly_sensitive_appealable</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1668110111</td>\n      <td>1.590795e+18</td>\n      <td>1590795223952928769</td>\n      <td>Thank you @POTUS &amp;amp; friendly 🇺🇸 people for ...</td>\n      <td>False</td>\n      <td>288</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"https://mobile.twitter.com\" rel=\"nofo...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1668110107</td>\n      <td>1.590795e+18</td>\n      <td>1590795208286818304</td>\n      <td>Дякую @POTUS і дружньому 🇺🇸 народові за чергов...</td>\n      <td>False</td>\n      <td>245</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"https://mobile.twitter.com\" rel=\"nofo...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1668097648</td>\n      <td>1.590743e+18</td>\n      <td>1590742949406867456</td>\n      <td>I had a phone call with @JustinTrudeau. Thanke...</td>\n      <td>False</td>\n      <td>272</td>\n      <td>list(hashtags = list(text = c(\"G20\", \"UN\"), in...</td>\n      <td>&lt;a href=\"https://mobile.twitter.com\" rel=\"nofo...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1668097644</td>\n      <td>1.590743e+18</td>\n      <td>1590742934168621059</td>\n      <td>Поговорив телефоном із @JustinTrudeau. Подякув...</td>\n      <td>False</td>\n      <td>253</td>\n      <td>list(hashtags = list(text = c(\"G20\", \"ООН\"), i...</td>\n      <td>&lt;a href=\"https://mobile.twitter.com\" rel=\"nofo...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1668086999</td>\n      <td>1.590698e+18</td>\n      <td>1590698284753879040</td>\n      <td>I had a phone call with 🇬🇧 PM @RishiSunak. We ...</td>\n      <td>False</td>\n      <td>276</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"https://mobile.twitter.com\" rel=\"nofo...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2573</th>\n      <td>1557323776</td>\n      <td>1.126124e+18</td>\n      <td>1126123657258983429</td>\n      <td>Сьогодні в Запоріжжі. Іван Залужний, капітан п...</td>\n      <td>False</td>\n      <td>278</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2574</th>\n      <td>1557232658</td>\n      <td>1.125741e+18</td>\n      <td>1125741479341764609</td>\n      <td>У рамках анонсованих зустрічей із підприємцями...</td>\n      <td>False</td>\n      <td>165</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2575</th>\n      <td>1557229747</td>\n      <td>1.125729e+18</td>\n      <td>1125729269135683584</td>\n      <td>Під час зустрічі з єврокомісаром @JHahnEU обго...</td>\n      <td>False</td>\n      <td>203</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2576</th>\n      <td>1557227399</td>\n      <td>1.125719e+18</td>\n      <td>1125719421413146624</td>\n      <td>Вчора мав зустріч з главою Української греко-к...</td>\n      <td>False</td>\n      <td>237</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2577</th>\n      <td>1556192768</td>\n      <td>1.121380e+18</td>\n      <td>1121379865289285632</td>\n      <td>Привіт, Україно! Привіт, Світ! Це — мій офіцій...</td>\n      <td>False</td>\n      <td>124</td>\n      <td>list(hashtags = list(text = NA, indices = list...</td>\n      <td>&lt;a href=\"http://twitter.com/download/iphone\" r...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>2578 rows × 43 columns</p>\n</div>"
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Load Zelenskyy Tweets\n",
    "tweets_df = pd.read_csv(\"tweets\\\\0-3200ZelenskyyUa.csv\", encoding=\"utf-8\")\n",
    "tweets_df\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "      Unnamed: 0               userid              tweetid  \\\n0              0            567289542  1566576845415501824   \n1           9998  1508586082044198913  1566702398776680450   \n2          19997             70925150  1566768488286502916   \n3          29994           3092380223  1566827048013897729   \n4          39993            138714232  1566889794650738688   \n...          ...                  ...                  ...   \n5455    54548506   922864309436284928  1544375157833306116   \n5456    54558506             18525497  1544392314197606401   \n5457    54568506              8447362  1544410469993250817   \n5458    54578506  1171873456276889600  1544429621155856386   \n5459    54588505  1246870288211607554  1544451490923905026   \n\n                      created_at  retweet_count  \\\n0            2022-09-05 00:00:00            1.0   \n1            2022-09-05 08:18:54            0.0   \n2            2022-09-05 12:41:31            0.0   \n3            2022-09-05 16:34:13            0.0   \n4            2022-09-05 20:43:33            0.0   \n...                          ...            ...   \n5455  2022-07-05 17:38:25.000000            8.0   \n5456  2022-07-05 18:46:35.000000          157.0   \n5457  2022-07-05 19:58:44.000000          964.0   \n5458  2022-07-05 21:14:50.000000            0.0   \n5459  2022-07-05 22:41:44.000000           93.0   \n\n                                              full_text lang  sentiment  \n0     The Russian-controlled #Zaporizhzhia nuclear p...   en  -0.159100  \n1               @BTSLovermuskan1 I'm fine. How are you?   en   0.101150  \n2     This week on The Purrfect Afternoon, PJ will b...   en  -0.340400  \n3     THINGS TO ALWAYS KEEP IN MIND: https://t.co/gi...   en   0.000000  \n4     @Nervana_1 @NATO @jensstoltenberg I still can’...   en  -0.090300  \n...                                                 ...  ...        ...  \n5455  ⚡️🇷🇺Russian special forces aboard the boat BK-...   en   0.140500  \n5456  In #Russia a series of strange deaths of top m...   en  -0.299700  \n5457  Tomorrow the European Parliament will decide w...   en  -0.195225  \n5458  $KRNT  6-K  Kornit Digital   (5 Jul, 5:11pm)\\n...   en   0.000000  \n5459  Hey, @JoeBiden can we take some of that money ...   en   0.000000  \n\n[5460 rows x 8 columns]",
      "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>Unnamed: 0</th>\n      <th>userid</th>\n      <th>tweetid</th>\n      <th>created_at</th>\n      <th>retweet_count</th>\n      <th>full_text</th>\n      <th>lang</th>\n      <th>sentiment</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>567289542</td>\n      <td>1566576845415501824</td>\n      <td>2022-09-05 00:00:00</td>\n      <td>1.0</td>\n      <td>The Russian-controlled #Zaporizhzhia nuclear p...</td>\n      <td>en</td>\n      <td>-0.159100</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>9998</td>\n      <td>1508586082044198913</td>\n      <td>1566702398776680450</td>\n      <td>2022-09-05 08:18:54</td>\n      <td>0.0</td>\n      <td>@BTSLovermuskan1 I'm fine. How are you?</td>\n      <td>en</td>\n      <td>0.101150</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>19997</td>\n      <td>70925150</td>\n      <td>1566768488286502916</td>\n      <td>2022-09-05 12:41:31</td>\n      <td>0.0</td>\n      <td>This week on The Purrfect Afternoon, PJ will b...</td>\n      <td>en</td>\n      <td>-0.340400</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>29994</td>\n      <td>3092380223</td>\n      <td>1566827048013897729</td>\n      <td>2022-09-05 16:34:13</td>\n      <td>0.0</td>\n      <td>THINGS TO ALWAYS KEEP IN MIND: https://t.co/gi...</td>\n      <td>en</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>39993</td>\n      <td>138714232</td>\n      <td>1566889794650738688</td>\n      <td>2022-09-05 20:43:33</td>\n      <td>0.0</td>\n      <td>@Nervana_1 @NATO @jensstoltenberg I still can’...</td>\n      <td>en</td>\n      <td>-0.090300</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>5455</th>\n      <td>54548506</td>\n      <td>922864309436284928</td>\n      <td>1544375157833306116</td>\n      <td>2022-07-05 17:38:25.000000</td>\n      <td>8.0</td>\n      <td>⚡️🇷🇺Russian special forces aboard the boat BK-...</td>\n      <td>en</td>\n      <td>0.140500</td>\n    </tr>\n    <tr>\n      <th>5456</th>\n      <td>54558506</td>\n      <td>18525497</td>\n      <td>1544392314197606401</td>\n      <td>2022-07-05 18:46:35.000000</td>\n      <td>157.0</td>\n      <td>In #Russia a series of strange deaths of top m...</td>\n      <td>en</td>\n      <td>-0.299700</td>\n    </tr>\n    <tr>\n      <th>5457</th>\n      <td>54568506</td>\n      <td>8447362</td>\n      <td>1544410469993250817</td>\n      <td>2022-07-05 19:58:44.000000</td>\n      <td>964.0</td>\n      <td>Tomorrow the European Parliament will decide w...</td>\n      <td>en</td>\n      <td>-0.195225</td>\n    </tr>\n    <tr>\n      <th>5458</th>\n      <td>54578506</td>\n      <td>1171873456276889600</td>\n      <td>1544429621155856386</td>\n      <td>2022-07-05 21:14:50.000000</td>\n      <td>0.0</td>\n      <td>$KRNT  6-K  Kornit Digital   (5 Jul, 5:11pm)\\n...</td>\n      <td>en</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>5459</th>\n      <td>54588505</td>\n      <td>1246870288211607554</td>\n      <td>1544451490923905026</td>\n      <td>2022-07-05 22:41:44.000000</td>\n      <td>93.0</td>\n      <td>Hey, @JoeBiden can we take some of that money ...</td>\n      <td>en</td>\n      <td>0.000000</td>\n    </tr>\n  </tbody>\n</table>\n<p>5460 rows × 8 columns</p>\n</div>"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load the sample of all public tweets about Ukraine\n",
    "tweets_df = pd.read_csv(\"combined\\\\sampled.csv\", encoding=\"utf-8\")\n",
    "tweets_df.rename(columns = {'language':'lang', 'text':'full_text', 'tweetcreatedts': 'created_at',\n",
    "                            'retweetcount': 'retweet_count'}, inplace=True)\n",
    "tweets_df\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "      Unnamed: 0               userid              tweetid  \\\n0              0            567289542  1566576845415501824   \n1           9998  1508586082044198913  1566702398776680450   \n2          19997             70925150  1566768488286502916   \n3          29994           3092380223  1566827048013897729   \n4          39993            138714232  1566889794650738688   \n...          ...                  ...                  ...   \n5455    54548506   922864309436284928  1544375157833306116   \n5456    54558506             18525497  1544392314197606401   \n5457    54568506              8447362  1544410469993250817   \n5458    54578506  1171873456276889600  1544429621155856386   \n5459    54588505  1246870288211607554  1544451490923905026   \n\n                      created_at  retweet_count  \\\n0            2022-09-05 00:00:00            1.0   \n1            2022-09-05 08:18:54            0.0   \n2            2022-09-05 12:41:31            0.0   \n3            2022-09-05 16:34:13            0.0   \n4            2022-09-05 20:43:33            0.0   \n...                          ...            ...   \n5455  2022-07-05 17:38:25.000000            8.0   \n5456  2022-07-05 18:46:35.000000          157.0   \n5457  2022-07-05 19:58:44.000000          964.0   \n5458  2022-07-05 21:14:50.000000            0.0   \n5459  2022-07-05 22:41:44.000000           93.0   \n\n                                              full_text lang  sentiment  \n0     The Russian-controlled #Zaporizhzhia nuclear p...   en  -0.159100  \n1               @BTSLovermuskan1 I'm fine. How are you?   en   0.101150  \n2     This week on The Purrfect Afternoon, PJ will b...   en  -0.340400  \n3     THINGS TO ALWAYS KEEP IN MIND: https://t.co/gi...   en   0.000000  \n4     @Nervana_1 @NATO @jensstoltenberg I still can’...   en  -0.090300  \n...                                                 ...  ...        ...  \n5455  ⚡️🇷🇺Russian special forces aboard the boat BK-...   en   0.140500  \n5456  In #Russia a series of strange deaths of top m...   en  -0.299700  \n5457  Tomorrow the European Parliament will decide w...   en  -0.195225  \n5458  $KRNT  6-K  Kornit Digital   (5 Jul, 5:11pm)\\n...   en   0.000000  \n5459  Hey, @JoeBiden can we take some of that money ...   en   0.000000  \n\n[5460 rows x 8 columns]",
      "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>Unnamed: 0</th>\n      <th>userid</th>\n      <th>tweetid</th>\n      <th>created_at</th>\n      <th>retweet_count</th>\n      <th>full_text</th>\n      <th>lang</th>\n      <th>sentiment</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>567289542</td>\n      <td>1566576845415501824</td>\n      <td>2022-09-05 00:00:00</td>\n      <td>1.0</td>\n      <td>The Russian-controlled #Zaporizhzhia nuclear p...</td>\n      <td>en</td>\n      <td>-0.159100</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>9998</td>\n      <td>1508586082044198913</td>\n      <td>1566702398776680450</td>\n      <td>2022-09-05 08:18:54</td>\n      <td>0.0</td>\n      <td>@BTSLovermuskan1 I'm fine. How are you?</td>\n      <td>en</td>\n      <td>0.101150</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>19997</td>\n      <td>70925150</td>\n      <td>1566768488286502916</td>\n      <td>2022-09-05 12:41:31</td>\n      <td>0.0</td>\n      <td>This week on The Purrfect Afternoon, PJ will b...</td>\n      <td>en</td>\n      <td>-0.340400</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>29994</td>\n      <td>3092380223</td>\n      <td>1566827048013897729</td>\n      <td>2022-09-05 16:34:13</td>\n      <td>0.0</td>\n      <td>THINGS TO ALWAYS KEEP IN MIND: https://t.co/gi...</td>\n      <td>en</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>39993</td>\n      <td>138714232</td>\n      <td>1566889794650738688</td>\n      <td>2022-09-05 20:43:33</td>\n      <td>0.0</td>\n      <td>@Nervana_1 @NATO @jensstoltenberg I still can’...</td>\n      <td>en</td>\n      <td>-0.090300</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>5455</th>\n      <td>54548506</td>\n      <td>922864309436284928</td>\n      <td>1544375157833306116</td>\n      <td>2022-07-05 17:38:25.000000</td>\n      <td>8.0</td>\n      <td>⚡️🇷🇺Russian special forces aboard the boat BK-...</td>\n      <td>en</td>\n      <td>0.140500</td>\n    </tr>\n    <tr>\n      <th>5456</th>\n      <td>54558506</td>\n      <td>18525497</td>\n      <td>1544392314197606401</td>\n      <td>2022-07-05 18:46:35.000000</td>\n      <td>157.0</td>\n      <td>In #Russia a series of strange deaths of top m...</td>\n      <td>en</td>\n      <td>-0.299700</td>\n    </tr>\n    <tr>\n      <th>5457</th>\n      <td>54568506</td>\n      <td>8447362</td>\n      <td>1544410469993250817</td>\n      <td>2022-07-05 19:58:44.000000</td>\n      <td>964.0</td>\n      <td>Tomorrow the European Parliament will decide w...</td>\n      <td>en</td>\n      <td>-0.195225</td>\n    </tr>\n    <tr>\n      <th>5458</th>\n      <td>54578506</td>\n      <td>1171873456276889600</td>\n      <td>1544429621155856386</td>\n      <td>2022-07-05 21:14:50.000000</td>\n      <td>0.0</td>\n      <td>$KRNT  6-K  Kornit Digital   (5 Jul, 5:11pm)\\n...</td>\n      <td>en</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>5459</th>\n      <td>54588505</td>\n      <td>1246870288211607554</td>\n      <td>1544451490923905026</td>\n      <td>2022-07-05 22:41:44.000000</td>\n      <td>93.0</td>\n      <td>Hey, @JoeBiden can we take some of that money ...</td>\n      <td>en</td>\n      <td>0.000000</td>\n    </tr>\n  </tbody>\n</table>\n<p>5460 rows × 8 columns</p>\n</div>"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[tweets_df[\"lang\"] == \"en\"]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Language of tweets"
   ],
   "metadata": {
    "collapsed": false
   },
   "execution_count": 1
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sv 1\n",
      "und 4\n",
      "fr 4\n",
      "uk 1437\n",
      "zh 2\n",
      "en 1089\n",
      "es 1\n",
      "pl 12\n",
      "de 1\n",
      "zxx 2\n",
      "it 5\n",
      "el 1\n",
      "iw 3\n",
      "pt 3\n",
      "tr 6\n",
      "ar 1\n",
      "ru 2\n",
      "cs 1\n",
      "ka 1\n",
      "lv 1\n",
      "ja 1\n"
     ]
    }
   ],
   "source": [
    "## lots of different languages, but mostly english and ekrainian\n",
    "# print(tweets_df.loc[tweets_df['lang'] == 'it'])\n",
    "all_langs = set(tweets_df['lang'])\n",
    "\n",
    "languages_x = []\n",
    "frequencies_y = []\n",
    "\n",
    "for lang in all_langs:\n",
    "    languages_x.append(str(lang))\n",
    "    frequencies_y.append(len(tweets_df.loc[tweets_df['lang'] == lang]))\n",
    "    num_in_lang = len(tweets_df.loc[tweets_df['lang'] == lang])\n",
    "    print(lang, num_in_lang)#, tweets_df.loc[tweets_df['lang'] == lang].iloc[0].full_text)\n",
    "\n",
    "# print(\"Percent of english tweets:\", len(tweets_df.loc[tweets_df['lang'] == 'en']) / len(tweets_df))\n",
    "# print(\"Percent of ukrainian tweets:\", len(tweets_df.loc[tweets_df['lang'] == 'uk']) / len(tweets_df))\n",
    "# print(\"Percent of polish tweets:\", len(tweets_df.loc[tweets_df['lang'] == 'pl']) / len(tweets_df))\n",
    "#\n",
    "# print(tweets_df.loc[tweets_df['lang'] == 'en'].iloc[0].full_text)\n",
    "# print(tweets_df.loc[tweets_df['lang'] == 'uk'].iloc[0].full_text)\n",
    "# print(tweets_df.loc[tweets_df['lang'] == 'pl'].iloc[0].full_text)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Separate into ukrainian vs english tweets"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [],
   "source": [
    "en, uk = tweets_df[tweets_df['lang'] == 'en'], tweets_df[tweets_df['lang'] == 'uk']\n",
    "en.reset_index(inplace=True)\n",
    "uk.reset_index(inplace=True)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Remove stop words and tokenize"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "outputs": [],
   "source": [
    "from nltk.tokenize import word_tokenize\n",
    "import re\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "def get_uk_stop():\n",
    "    f = open(\"stopwords_ua.txt\", encoding=\"utf8\")\n",
    "    words = f.read().split(\"\\n\")\n",
    "    return words\n",
    "\n",
    "def tokenize_remove_stop(df):\n",
    "    \"\"\"\n",
    "    Returns a list of tokens that are not stop words in english or ukrainian\n",
    "    \"\"\"\n",
    "    stop_words = stopwords.words('english')\n",
    "    stop_words.extend(['from', 'subject', 're', 'edu', 'use', 'amp'])\n",
    "    stop_words.extend(get_uk_stop())\n",
    "\n",
    "    big_string = \" \".join(df.full_text)\n",
    "    big_string = big_string.lower()\n",
    "    big_string = re.sub(\"[^\\w\\s]\", \"\", big_string)\n",
    "    tokenized = word_tokenize(big_string)\n",
    "    removed_stop_words = [i for i in tokenized if i not in stop_words]\n",
    "    return removed_stop_words\n",
    "\n",
    "en_tokens = tokenize_remove_stop(en)\n",
    "uk_tokens = tokenize_remove_stop(uk)\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Frequency Distribution Plots for web/iphone"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<AxesSubplot:title={'center':'Frequency of English Words'}, xlabel='Samples', ylabel='Counts'>"
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "freqDist = FreqDist(en_tokens)\n",
    "freqDist.plot(10, title=\"Frequency of English Words\")\n",
    "# freqDist = FreqDist(uk_tokens)\n",
    "# freqDist.plot(10, title=\"Ukrainian\")"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Word clouds for English and Ukrainian"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [
    {
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGB size=400x200>",
      "image/png": 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\n"
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import the wordcloud library\n",
    "from wordcloud import WordCloud# Join the different processed titles together.\n",
    "\n",
    "wordcloud = WordCloud(background_color=\"white\", max_words=5000, contour_width=3, contour_color='steelblue')# Generate a word cloud\n",
    "wordcloud.generate(\" \".join(en_tokens))# Visualize the word cloud\n",
    "wordcloud.to_image()\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [
    {
     "data": {
      "text/plain": "<PIL.Image.Image image mode=RGB size=400x200>",
      "image/png": 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\n"
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wordcloud.generate(\" \".join(uk_tokens))# Visualize the word cloud\n",
    "wordcloud.to_image()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Post frequencies"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['index', 'created_at', 'id', 'id_str', 'full_text', 'truncated',\n",
      "       'display_text_range', 'entities', 'source', 'in_reply_to_status_id',\n",
      "       'in_reply_to_status_id_str', 'in_reply_to_user_id',\n",
      "       'in_reply_to_user_id_str', 'in_reply_to_screen_name', 'geo',\n",
      "       'coordinates', 'place', 'contributors', 'is_quote_status',\n",
      "       'retweet_count', 'favorite_count', 'favorited', 'retweeted', 'lang',\n",
      "       'quoted_status_id', 'quoted_status_id_str', 'quoted_status_permalink',\n",
      "       'quoted_status', 'possibly_sensitive', 'text', 'favorited_by', 'scopes',\n",
      "       'display_text_width', 'retweeted_status', 'quote_count', 'timestamp_ms',\n",
      "       'reply_count', 'filter_level', 'metadata', 'query', 'withheld_scope',\n",
      "       'withheld_copyright', 'withheld_in_countries',\n",
      "       'possibly_sensitive_appealable'],\n",
      "      dtype='object')\n",
      "   index  created_at            id               id_str  \\\n",
      "0      0  1668110111  1.590795e+18  1590795223952928769   \n",
      "1      2  1668097648  1.590743e+18  1590742949406867456   \n",
      "2      4  1668086999  1.590698e+18  1590698284753879040   \n",
      "3      6  1668012430  1.590386e+18  1590385518403256321   \n",
      "4      8  1668001279  1.590339e+18  1590338747857801216   \n",
      "\n",
      "                                           full_text  truncated  \\\n",
      "0  Thank you @POTUS &amp; friendly 🇺🇸 people for ...      False   \n",
      "1  I had a phone call with @JustinTrudeau. Thanke...      False   \n",
      "2  I had a phone call with 🇬🇧 PM @RishiSunak. We ...      False   \n",
      "3  Discussed with PM of the Netherlands @MinPres ...      False   \n",
      "4  Grateful to the European Commission &amp; Pres...      False   \n",
      "\n",
      "   display_text_range                                           entities  \\\n",
      "0                 288  list(hashtags = list(text = NA, indices = list...   \n",
      "1                 272  list(hashtags = list(text = c(\"G20\", \"UN\"), in...   \n",
      "2                 276  list(hashtags = list(text = NA, indices = list...   \n",
      "3                 279  list(hashtags = list(text = NA, indices = list...   \n",
      "4                 278  list(hashtags = list(text = \"EmbraceUkraine\", ...   \n",
      "\n",
      "                                              source  in_reply_to_status_id  \\\n",
      "0  <a href=\"https://mobile.twitter.com\" rel=\"nofo...                    NaN   \n",
      "1  <a href=\"https://mobile.twitter.com\" rel=\"nofo...                    NaN   \n",
      "2  <a href=\"https://mobile.twitter.com\" rel=\"nofo...                    NaN   \n",
      "3  <a href=\"https://mobile.twitter.com\" rel=\"nofo...                    NaN   \n",
      "4  <a href=\"https://mobile.twitter.com\" rel=\"nofo...                    NaN   \n",
      "\n",
      "   ...  quote_count  timestamp_ms  reply_count filter_level  metadata query  \\\n",
      "0  ...          NaN           NaN          NaN          NaN       NaN   NaN   \n",
      "1  ...          NaN           NaN          NaN          NaN       NaN   NaN   \n",
      "2  ...          NaN           NaN          NaN          NaN       NaN   NaN   \n",
      "3  ...          NaN           NaN          NaN          NaN       NaN   NaN   \n",
      "4  ...          NaN           NaN          NaN          NaN       NaN   NaN   \n",
      "\n",
      "  withheld_scope  withheld_copyright  withheld_in_countries  \\\n",
      "0            NaN                 NaN                    NaN   \n",
      "1            NaN                 NaN                    NaN   \n",
      "2            NaN                 NaN                    NaN   \n",
      "3            NaN                 NaN                    NaN   \n",
      "4            NaN                 NaN                    NaN   \n",
      "\n",
      "   possibly_sensitive_appealable  \n",
      "0                            NaN  \n",
      "1                            NaN  \n",
      "2                            NaN  \n",
      "3                            NaN  \n",
      "4                            NaN  \n",
      "\n",
      "[5 rows x 44 columns]\n"
     ]
    },
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Number of tweets')"
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from datetime import datetime, timezone, timedelta\n",
    "from matplotlib import pyplot as plt\n",
    "import datetime\n",
    "def get_hour_frequency_plot(df):\n",
    "    hours_frequency = []\n",
    "    for time in df.created_at:\n",
    "        hour = datetime.datetime.fromtimestamp(time, timezone(timedelta(hours=2))).hour\n",
    "        hours_frequency.append(hour)\n",
    "    return plt.hist(hours_frequency, bins=24)\n",
    "\n",
    "print(en.columns)\n",
    "print(en.head())\n",
    "# get_hour_frequency_plot(uk)\n",
    "get_hour_frequency_plot(en)\n",
    "# plt.legend([\"uk\", \"en\"])\n",
    "plt.title(\"Absolute frequency of posts by hours in the day\")\n",
    "plt.xlabel(\"Hour in the day\")\n",
    "plt.ylabel(\"Number of tweets\")"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Topic modelling\n",
    "The section below does the topic modelling from https://towardsdatascience.com/end-to-end-topic-modeling-in-python-latent-dirichlet-allocation-lda-35ce4ed6b3e0\n",
    "\n",
    "It makes a .html file that allows you to view the topics"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "import gensim\n",
    "from gensim.utils import simple_preprocess\n",
    "def sent_to_words(sentences):\n",
    "    for sentence in sentences:\n",
    "        # deacc=True removes punctuations\n",
    "        yield(gensim.utils.simple_preprocess(str(sentence), deacc=True))\n",
    "def remove_stopwords(doc):\n",
    "    return [[word for word in simple_preprocess(str(doc)) if word not in stop_words]]\n",
    "# data = papers.paper_text_processed.values.tolist()\n",
    "# data_words = list(sent_to_words(data))\n",
    "data_words = [en_tokens]\n",
    "\n",
    "import gensim.corpora as corpora# Create Dictionary\n",
    "id2word = corpora.Dictionary(data_words)# Create Corpus\n",
    "texts = data_words# Term Document Frequency\n",
    "corpus = [id2word.doc2bow(text) for text in texts]# View\n",
    "print(corpus[:1][0][:30])\n",
    "\n",
    "print(\"UP TO MODEL\")\n",
    "from pprint import pprint\n",
    "# number of topics\n",
    "num_topics = 20\n",
    "# Build LDA model\n",
    "lda_model = gensim.models.LdaModel(corpus=corpus, id2word=id2word, num_topics=num_topics)\n",
    "# lda_model = gensim.models.LdaMulticore(corpus=corpus,\n",
    "#                                        id2word=id2word,\n",
    "#                                        num_topics=num_topics, workers=1)# Print the Keyword in the 10 topics\n",
    "pprint(lda_model.print_topics())\n",
    "print(\"up to visualize\")\n",
    "import os\n",
    "import pyLDAvis.gensim_models\n",
    "import pickle\n",
    "import pyLDAvis# Visualize the topics\n",
    "pyLDAvis.enable_notebook()\n",
    "LDAvis_data_filepath = os.path.join(\"C:\\\\Users\\\\adder\\\\Documents\\\\Minerva\\\\CCP Ukraine\\\\social-media-ukraine\\\\topic_modelling_output\\\\\" + str(num_topics)) + \"combined\"\n",
    "\n",
    "print(LDAvis_data_filepath)\n",
    "LDAvis_prepared = pyLDAvis.gensim_models.prepare(lda_model, corpus, id2word)\n",
    "with open(LDAvis_data_filepath, 'wb') as f:\n",
    "    pickle.dump(LDAvis_prepared, f)# load the pre-prepared pyLDAvis data from disk\n",
    "\n",
    "with open(LDAvis_data_filepath, 'rb') as f:\n",
    "    LDAvis_prepared = pickle.load(f)\n",
    "    pyLDAvis.save_html(LDAvis_prepared, str(num_topics) +'combined.html')\n",
    "    LDAvis_prepared"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Vader Sentiment Analysis\n",
    "https://github.com/cjhutto/vaderSentiment#about-the-scoring\n",
    "    positive sentiment: compound score >= 0.05\n",
    "    neutral sentiment: (compound score > -0.05) and (compound score < 0.05)\n",
    "    negative sentiment: compound score <= -0.05\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "en.head()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Average of Sentiment of Sentences For each tweet"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\adder\\AppData\\Local\\Temp\\ipykernel_34108\\3238353876.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  en[\"compound\"] = 0\n"
     ]
    }
   ],
   "source": [
    "from nltk import tokenize\n",
    "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
    "sentences = []\n",
    "compound_scores = []\n",
    "en[\"compound\"] = 0\n",
    "for i in range(len(en)):\n",
    "    sum_compounds = 0\n",
    "    lines_list = tokenize.sent_tokenize(en[\"full_text\"][i])\n",
    "    num_sentences_per_tweet = len(lines_list)\n",
    "    for sentence in lines_list:\n",
    "        sid = SentimentIntensityAnalyzer()\n",
    "        ss = sid.polarity_scores(sentence)\n",
    "        sum_compounds += ss[\"compound\"]\n",
    "    en.loc[i, \"compound\"] = sum_compounds / num_sentences_per_tweet\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Number of Tweets')"
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "## plot frequency of compound scores\n",
    "plt.hist(en[\"compound\"], bins=20)\n",
    "plt.title(\"Frequency of Tweets by Sentiment\")\n",
    "plt.xlabel(\"Vader Compound Sentiment\")\n",
    "plt.ylabel(\"Number of Tweets\")"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### analysis\n",
    "The plot below is cool because for Zelenskyy and Federov it shows even though (from plot above) most tweets are positive, the ones that get retweeted are more negative"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1089\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "####\n",
    "# need to combine sentences of tweets and get the mean/median of the sentences\n",
    "####\n",
    "print(len(sentences))\n",
    "print(len(en[\"full_text\"]))\n",
    "en.head()\n",
    "# en[\"compound\"]\n",
    "# get mean of each value of compound score\n",
    "unique_sentiment_scores = sorted(set(en[\"compound\"]))\n",
    "combined_sentiment_scores = [i / 10 for i in range(-10, 10)]\n",
    "\n",
    "# sentiment scores go from -1 to 1, so maybe every .2\n",
    "\n",
    "# en[\"retweet_count\"].median()\n",
    "num_retweets = []\n",
    "for sentiment_score in combined_sentiment_scores:\n",
    "    num_retweets.append(en[round(en['compound'], 1) == sentiment_score][\"retweet_count\"].mean())\n",
    "\n",
    "plt.bar(combined_sentiment_scores, num_retweets)\n",
    "plt.title(\"Sentiment of Tweet and the Mean Number of Retweets\")\n",
    "plt.xlabel(\"Vader Compound Sentiment\")\n",
    "plt.ylabel(\"Mean Number of retweets\")\n",
    "plt.show()"
   ],
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