projects/04-fletcher/dnc_leaks/DNC_Word2Vec_Gensim.ipynb

DNC_Word2Vec_Gensim.ipynb

{
  "cells": [
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "import gensim\nimport numpy as np\nimport pandas as pd\nimport nltk\nfrom nltk.corpus import stopwords\nimport re\nimport os\nimport codecs\nfrom sklearn import feature_extraction\nimport mpld3\nimport pickle\n\nstopwords = nltk.corpus.stopwords.words('english')\nfrom nltk.stem.snowball import SnowballStemmer\nstemmer = SnowballStemmer(\"english\")\n\nimport nltk.data\nnltk.download()\ntokenizer = nltk.data.load('nltk:tokenizers/punkt/english.pickle')\n",
      "execution_count": 66,
      "outputs": [
        {
          "text": "showing info https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/index.xml\n",
          "name": "stdout",
          "output_type": "stream"
        }
      ]
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "df = pickle.load( open( 'dnc_df_final_08_15.pkl', \"rb\" ) )\n",
      "execution_count": 25,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "print(len(df.body_stop))\nprint(df.body[1])",
      "execution_count": 42,
      "outputs": [
        {
          "text": "16102\ncontribution data page de dws wlf reception type onetime number of tickets ticket amount ticket info ticketinfo additional contribution amount total amount first name shekelia last name hines address christiana meadows bear de phone email shekeliahinesgmailcom employer bayhealth employer address occupation physical therapist payment type visa account transaction transactionid user id userid contribution key ihfhmpysektdsdc custom field data section header additional information fundraiser code optional who encouraged you to make this contribution robin whitaker guest names if contributing for multiple tickets robin whitaker general information submit date mon may status authorized client ip address client browser mozilla macintosh intel mac os x applewebkit khtml like gecko version safari \n",
          "name": "stdout",
          "output_type": "stream"
        }
      ]
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Remove Stop Words from Body and Create stems \ndef tokenize_and_stem(text):\n    # first tokenize by sentence, then by word to ensure that punctuation is caught as it's own token\n    tokens = [word for sent in nltk.sent_tokenize(text) for word in nltk.word_tokenize(sent)]\n    filtered_tokens = []\n    # filter out any tokens not containing letters (e.g., numeric tokens, raw punctuation)\n    for token in tokens:\n        if re.search('[a-zA-Z]', token):\n            filtered_tokens.append(token)\n    stems = [stemmer.stem(t) for t in filtered_tokens]\n    return stems\n\n\nstop = stopwords.words('english')\ndf['body_stop'] = df['body'].apply(lambda x: ' '.join([item for item in x.split() if item not in stop]))\ndf['body_stems']= df.body_stop.apply(lambda x: tokenize_and_stem(x) )",
      "execution_count": 67,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "df.columns",
      "execution_count": 74,
      "outputs": [
        {
          "data": {
            "text/plain": "Index(['date', 'from_name', 'from_email', 'to', 'subject', 'body', 'body_stop',\n       'body_stop_split', 'body_stems'],\n      dtype='object')"
          },
          "execution_count": 74,
          "output_type": "execute_result",
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "df_stems = df[['date', 'from_name', 'from_email', 'to', 'subject', 'body_stems', 'body']]",
      "execution_count": 76,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "df_stems.to_pickle('./dnc_df_stems_08_16.pkl')",
      "execution_count": 77,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Start Gensim Model\n---"
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "model = gensim.models.Word2Vec(df.body_stop_split.tolist(), size=100, window=5, min_count=1, workers=2)\n#model = gensim.models.Word2Vec(df.body_stems.tolist(), size=100, window=5, min_count=1, workers=2)",
      "execution_count": 85,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "df_stems.head()",
      "execution_count": 84,
      "outputs": [
        {
          "data": {
            "text/html": "<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>date</th>\n      <th>from_name</th>\n      <th>from_email</th>\n      <th>to</th>\n      <th>subject</th>\n      <th>body_stems</th>\n      <th>body</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Tue, 17 May 2016 19:51:22 -0700</td>\n      <td>Maureen Garde</td>\n      <td>[email protected]</td>\n      <td>\"Davis, Marilyn\" &lt;[email protected]&gt;</td>\n      <td>Re: CT To Automatically Register 400,000 Voters</td>\n      <td>[mani, state, get, follow, connecticut, way, g...</td>\n      <td>how many more states can we get to follow conn...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Mon, 2 May 2016 22:19:09 -0400</td>\n      <td>Contribution</td>\n      <td>[email protected]</td>\n      <td>&lt;[email protected]&gt;, &lt;[email protected]&gt;, &lt;olszewsk...</td>\n      <td>Contribution: DE008 - DWS WLF Reception / Shek...</td>\n      <td>[contribut, data, page, de, dws, wlf, recept, ...</td>\n      <td>contribution data page de dws wlf reception ty...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Mon, 23 May 2016 15:17:55 -0600</td>\n      <td>POLITICOs   Blast</td>\n      <td>[email protected]</td>\n      <td>&lt;[email protected]&gt;</td>\n      <td>=?UTF-8?B?UE9MSVRJQ08ncyAyMDE2IEJsYXN0OiBCZXJu...</td>\n      <td>[henri, c, jackson, pm, edt, last, bern, democ...</td>\n      <td>by henry c jackson pm edt lasting bern the dem...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Wed, 27 Apr 2016 03:48:42 -0600</td>\n      <td>POLITICO</td>\n      <td>[email protected]</td>\n      <td>&lt;[email protected]&gt;</td>\n      <td>POLITICO's Daily Congress Digest for Wednesday...</td>\n      <td>[politico, daili, congress, digest, wednesday,...</td>\n      <td>politicos daily congress digest for wednesday ...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Thu, 19 May 2016 08:42:10 -0700</td>\n      <td>Corinne Matti</td>\n      <td>[email protected]</td>\n      <td>\"Miranda, Luis\" &lt;[email protected]&gt;</td>\n      <td>Re: America's Newsroom (FNC) - Luis Miranda (S...</td>\n      <td>[yup, also, iq, media, snapstream, may, mirand...</td>\n      <td>yup they also have iq media and snapstream on ...</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "                              date          from_name  \\\n0  Tue, 17 May 2016 19:51:22 -0700      Maureen Garde   \n1   Mon, 2 May 2016 22:19:09 -0400       Contribution   \n2  Mon, 23 May 2016 15:17:55 -0600  POLITICOs   Blast   \n3  Wed, 27 Apr 2016 03:48:42 -0600           POLITICO   \n4  Thu, 19 May 2016 08:42:10 -0700      Corinne Matti   \n\n                         from_email  \\\n0                    [email protected]   \n1  [email protected]   \n2            [email protected]   \n3           [email protected]   \n4                    [email protected]   \n\n                                                  to  \\\n0                  \"Davis, Marilyn\" <[email protected]>   \n1  <[email protected]>, <[email protected]>, <olszewsk...   \n2                                  <[email protected]>   \n3                                  <[email protected]>   \n4                 \"Miranda, Luis\" <[email protected]>   \n\n                                             subject  \\\n0    Re: CT To Automatically Register 400,000 Voters   \n1  Contribution: DE008 - DWS WLF Reception / Shek...   \n2  =?UTF-8?B?UE9MSVRJQ08ncyAyMDE2IEJsYXN0OiBCZXJu...   \n3  POLITICO's Daily Congress Digest for Wednesday...   \n4  Re: America's Newsroom (FNC) - Luis Miranda (S...   \n\n                                          body_stems  \\\n0  [mani, state, get, follow, connecticut, way, g...   \n1  [contribut, data, page, de, dws, wlf, recept, ...   \n2  [henri, c, jackson, pm, edt, last, bern, democ...   \n3  [politico, daili, congress, digest, wednesday,...   \n4  [yup, also, iq, media, snapstream, may, mirand...   \n\n                                                body  \n0  how many more states can we get to follow conn...  \n1  contribution data page de dws wlf reception ty...  \n2  by henry c jackson pm edt lasting bern the dem...  \n3  politicos daily congress digest for wednesday ...  \n4  yup they also have iq media and snapstream on ...  "
          },
          "execution_count": 84,
          "output_type": "execute_result",
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "model.vocab",
      "execution_count": 86,
      "outputs": [
        {
          "data": {
            "text/plain": "{'selfabsorbed': <gensim.models.word2vec.Vocab at 0x15a2d44a8>,\n '': <gensim.models.word2vec.Vocab at 0x15a2d4e48>,\n 'preelection': <gensim.models.word2vec.Vocab at 0x15a2d4dd8>,\n 'adapted': <gensim.models.word2vec.Vocab at 0x15a2d4630>,\n 'httpgopoliticoemailcomqscbfafbbbdedadadeecbbd': <gensim.models.word2vec.Vocab at 0x15bd92748>,\n 'revue': <gensim.models.word2vec.Vocab at 0x15a2d4f98>,\n 'biden': <gensim.models.word2vec.Vocab at 0x15a2d4f60>,\n 'conventiond': <gensim.models.word2vec.Vocab at 0x15a2d4f28>,\n 'worriesthe': <gensim.models.word2vec.Vocab at 0x15a2d4ef0>,\n 'httpgopoliticoemailcomqsfcbacfbcaeabcbffecdbfeccfbbec': <gensim.models.word2vec.Vocab at 0x15a2d4eb8>,\n 'watchhttpstoolboxdncorgtoolnamevantageuploaderpathvantageuploaderdncorgvideossharedshowjwteyjexaioijkvqilcjhbgcioijiuzinijeyjpyxqiojenjmodqmjksimvtywlsijoicgscuakbkbmmubjniiwiawqiojmymdqoswizgbmxvywrhymxlijpcnvlfqgnphtmjknlchedrmdfrvowoodzmtbpicenyn': <gensim.models.word2vec.Vocab at 0x15a2d4e80>,\n 'desalination': <gensim.models.word2vec.Vocab at 0x17e2206a0>,\n 'osterman': <gensim.models.word2vec.Vocab at 0x15a2d4da0>,\n 'httpswwwbuzzfeedcomdanielwagnertrumpssaudibusinessutmtermukpwagwblxfmqqdv': <gensim.models.word2vec.Vocab at 0x15a2d4d68>,\n 'httpmerkleysenategovnewsletter': <gensim.models.word2vec.Vocab at 0x15a2d4d30>,\n 'estimation': <gensim.models.word2vec.Vocab at 0x15a2d4cf8>,\n 'httpgopoliticoemailcomqsccedfbcebdfdfbac': <gensim.models.word2vec.Vocab at 0x15a2d4cc0>,\n 'wellraised': <gensim.models.word2vec.Vocab at 0x15a2d4c88>,\n 'executing': <gensim.models.word2vec.Vocab at 0x15a2d4c50>,\n 'judy': <gensim.models.word2vec.Vocab at 0x15a2d4c18>,\n 'philosophy': <gensim.models.word2vec.Vocab at 0x15a2d4be0>,\n 'httpgopoliticoemailcomqsdfcdaaacdefdafbbdedfddfbebbfcdb': <gensim.models.word2vec.Vocab at 0x15a2d4ba8>,\n 'httpgopoliticoemailcomqsccbeffdcfacefdedfedadfaa': <gensim.models.word2vec.Vocab at 0x15a2d4b70>,\n 'lovefest': <gensim.models.word2vec.Vocab at 0x15a2d4b38>,\n 'cathylackcogancommailtocathylackcogancom': <gensim.models.word2vec.Vocab at 0x15a2d4b00>,\n 'lewistonauburn': <gensim.models.word2vec.Vocab at 0x15a2d4ac8>,\n 'stable': <gensim.models.word2vec.Vocab at 0x15a2d4a90>,\n 'nationally': <gensim.models.word2vec.Vocab at 0x15a2d4a20>,\n 'gradepoint': <gensim.models.word2vec.Vocab at 0x15a2d49e8>,\n 'sweetheart': <gensim.models.word2vec.Vocab at 0x15a2d49b0>,\n 'reflejan': <gensim.models.word2vec.Vocab at 0x15bd92898>,\n 'wrongdoers': <gensim.models.word2vec.Vocab at 0x15a2d4940>,\n 'worlds': <gensim.models.word2vec.Vocab at 0x15a2d4908>,\n 'chernobyls': <gensim.models.word2vec.Vocab at 0x15a2d48d0>,\n 'pedophilia': <gensim.models.word2vec.Vocab at 0x15a2d4898>,\n 'investigatory': <gensim.models.word2vec.Vocab at 0x15a2d4860>,\n 'charlene': <gensim.models.word2vec.Vocab at 0x15a2d4828>,\n 'allconsuming': <gensim.models.word2vec.Vocab at 0x15a2d47f0>,\n 'romney': <gensim.models.word2vec.Vocab at 0x15a2d47b8>,\n 'httpwwwcdcgovzikapregnancyindexhtml': <gensim.models.word2vec.Vocab at 0x15a2d4780>,\n 'wellformed': <gensim.models.word2vec.Vocab at 0x15a2d4748>,\n 'saidhttpphiladelphiacbslocalcompapoliticiansreacttobignightfordonaldtrump': <gensim.models.word2vec.Vocab at 0x15a2d4710>,\n 'walshtdncorg': <gensim.models.word2vec.Vocab at 0x15a2d46d8>,\n 'browserhttpuscampaignarchivecomudafbdecidfaedbceaacce': <gensim.models.word2vec.Vocab at 0x15a2d46a0>,\n 'previewed': <gensim.models.word2vec.Vocab at 0x15be0d668>,\n 'gobbled': <gensim.models.word2vec.Vocab at 0x15a2d4668>,\n 'meandering': <gensim.models.word2vec.Vocab at 0x15a2d45f8>,\n 'woulda': <gensim.models.word2vec.Vocab at 0x15b0c6208>,\n 'rousseff': <gensim.models.word2vec.Vocab at 0x15a2d4588>,\n 'wheeler': <gensim.models.word2vec.Vocab at 0x15b0c6240>,\n 'httpgopoliticoemailcomqsfdfeefcdeddcfdecdbacbcbaf': <gensim.models.word2vec.Vocab at 0x15a2d4518>,\n 'omidyar': <gensim.models.word2vec.Vocab at 0x15a2d44e0>,\n 'columna': <gensim.models.word2vec.Vocab at 0x15a2d4438>,\n 'prescriber': <gensim.models.word2vec.Vocab at 0x15a2d4470>,\n 'previouslyscheduled': <gensim.models.word2vec.Vocab at 0x15a2d4400>,\n 'tory': <gensim.models.word2vec.Vocab at 0x15a2d43c8>,\n 'hugh': <gensim.models.word2vec.Vocab at 0x15ae969b0>,\n 'brushbacks': <gensim.models.word2vec.Vocab at 0x15becdd68>,\n 'leaseback': <gensim.models.word2vec.Vocab at 0x15a5f9390>,\n 'agencieshttpswwwtedcruzorgfiveforfreedom': <gensim.models.word2vec.Vocab at 0x17e2204e0>,\n 'httphostedaporgdynamicfileselectionsbystatemdpresidenthtmlsiteapsectionpolitics': <gensim.models.word2vec.Vocab at 0x15ba0b7f0>,\n 'lucymooggmailcommailtolucymooggmailcom': <gensim.models.word2vec.Vocab at 0x17e2205c0>,\n 'httpstwittercomteamcavutostatus': <gensim.models.word2vec.Vocab at 0x17e220588>,\n 'amassed': <gensim.models.word2vec.Vocab at 0x17e2205f8>,\n 'listerv': <gensim.models.word2vec.Vocab at 0x17e220630>,\n 'httpwwwstutzmanpacomaboutrobbio': <gensim.models.word2vec.Vocab at 0x15a2d4e10>,\n 'valleys': <gensim.models.word2vec.Vocab at 0x17e220668>,\n 'forgives': <gensim.models.word2vec.Vocab at 0x17e2204a8>,\n 'httpwwwtheguardiancomusnewsaprjuliaioffejournalistmelaniatrumpantisemiticabuse': <gensim.models.word2vec.Vocab at 0x17e220898>,\n 'httpnationfoxnewscomwatchlivedonaldtrumpcampaigneventcostamesacalifornia': <gensim.models.word2vec.Vocab at 0x17e2208d0>,\n 'httpclickemailbostonglobecomqsdcabcdcafaebaffcfdcedbdccacdabfabecbdaef': <gensim.models.word2vec.Vocab at 0x17e220908>,\n 'veer': <gensim.models.word2vec.Vocab at 0x15accb898>,\n 'annoyance': <gensim.models.word2vec.Vocab at 0x17e2206d8>,\n 'symbolizes': <gensim.models.word2vec.Vocab at 0x1300dfef0>,\n 'httpsmediumcomthestorytextshotsffcc': <gensim.models.word2vec.Vocab at 0x17e220780>,\n 'markmailtopaustenbachmdncorg': <gensim.models.word2vec.Vocab at 0x17e2207f0>,\n 'httprrsnettnjspfnmughnfrrawferqbqkztojpipxzoahsexlfpiyohupchicsekthkytifkealunmuffuqrkwynibgxnofbiszwpdllzmemgpmkjmajcdhknjmmvyeksiqrpqqgylgyuxhjzgapsnzcvirlbxaxfuuwchymlchladsssjbbzfafdlkdlkccxiuvwchfwbxbwtgqbwchprspndrzjwjmohvmilirtgfkebphcnpmjzqmitkehfudea': <gensim.models.word2vec.Vocab at 0x17e220828>,\n 'yeahi': <gensim.models.word2vec.Vocab at 0x17e220860>,\n 'httplinkwashingtonpostcomclickahrchmlydcudfzagluzrvbnbvcquytldvcmxkllyyxfplwzvcmnlcyyzxrhautcnvymetznjvbspclzlwfuzclewutzmfsbhvqywgtzmylwlehqtymfdgxllziwmtyvmduvmtkvmnimzjmywqtmznmzsmrmlwfjymetmgvkyjiodyyzkxxnbjlmhbwwdbtbtxjndwaxnyyzubfkywlsetiwmgcaeadcbcfcc': <gensim.models.word2vec.Vocab at 0x17e220940>,\n 'recriminations': <gensim.models.word2vec.Vocab at 0x1300e9588>,\n 'pgim': <gensim.models.word2vec.Vocab at 0x15ebc9828>,\n 'eckl': <gensim.models.word2vec.Vocab at 0x15ebc9908>,\n 'bevins': <gensim.models.word2vec.Vocab at 0x15ebc99e8>,\n 'bender': <gensim.models.word2vec.Vocab at 0x15cc57278>,\n 'vetting': <gensim.models.word2vec.Vocab at 0x15cc57550>,\n 'musician': <gensim.models.word2vec.Vocab at 0x15cbfcd30>,\n 'herehttpactiontimcanovacompagembffdecevesa': <gensim.models.word2vec.Vocab at 0x15cbfc940>,\n 'allintogether': <gensim.models.word2vec.Vocab at 0x11faec4e0>,\n 'httpwwwtheatlanticcompoliticsarchiveonhomecomingsmccidbaccdmceiduniqid': <gensim.models.word2vec.Vocab at 0x11faec208>,\n 'tema': <gensim.models.word2vec.Vocab at 0x11faec198>,\n 'httplinkwashingtonpostcomclickahrchmlydcudfzagluzrvbnbvcquytldvcmxklcrlcnktzgvlcgvucyhcylzlwdgfpciwbgfuzszzwfyygtzwzxjzlxnlyuzckyxkvmjaxniwnsymchngrhzjayyxztaltexztytodjjmihnrjyjmxmzinrfcrvcnkuahrtbdcgtptemdbpcjjpwsxhlywrzlwryyxcadbdeafedfcc': <gensim.models.word2vec.Vocab at 0x11faec518>,\n 'majorityhttpwwwpolitifactcomtruthometerstatementsjundonaldtrumptrumpprochoicepollingnumbersdeclining': <gensim.models.word2vec.Vocab at 0x15cc28d68>,\n 'londons': <gensim.models.word2vec.Vocab at 0x15cc28748>,\n 'beckerman': <gensim.models.word2vec.Vocab 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'httpclickemailbostonglobecomqsefaabefceffeaddbfacbdfbeadadfcbd': <gensim.models.word2vec.Vocab at 0x15a2e34a8>,\n 'crib': <gensim.models.word2vec.Vocab at 0x15a2e34e0>,\n 'adbel': <gensim.models.word2vec.Vocab at 0x15be080b8>,\n 'cidimagepngdaeeaccac': <gensim.models.word2vec.Vocab at 0x15a2e3518>,\n 'httplinkwashingtonpostcomclickahrchmlydcudfzagluzrvbnbvcquytlldmvcgzxjwbnlbhbgtyskywlsesymdivmjaxniwncyoskywlsesymdityjeiryxnpygtcmvjcmltawhdglvbnmtdhlwawzlwvzxjdghpbmctagfwbgvzcyhymdcagutcrvcccnvtcctbzlbwvudcnziymmyxmtkmwimmeymmqzntdjyjyvpdwbwmszcglzcmmbmxfzgfpbhkymdicaeadcbcfccfd': <gensim.models.word2vec.Vocab at 0x15a2e3550>,\n 'devised': <gensim.models.word2vec.Vocab at 0x15a2e35c0>,\n 'preferenceshttpamericanbridgepacuslistmanagecomprofileueebfeedcfeeffdidcfcebcdbbc': <gensim.models.word2vec.Vocab at 0x15a2e35f8>,\n 'capsules': <gensim.models.word2vec.Vocab at 0x15a2e3630>,\n 'walks': <gensim.models.word2vec.Vocab at 0x15a2e3668>,\n 'lootinghttpbluenationreviewcombernieaccuseshillaryoflaunderingandlooting': <gensim.models.word2vec.Vocab at 0x15a2e36a0>,\n 'parsed': <gensim.models.word2vec.Vocab at 0x15a2e36d8>,\n 'racking': <gensim.models.word2vec.Vocab at 0x15a2e3710>,\n 'daypart': <gensim.models.word2vec.Vocab at 0x15a2e3748>,\n 'mailtokcirillibloombergnethttpbloombergnet': <gensim.models.word2vec.Vocab at 0x15a2e3780>,\n 'httplinkwashingtonpostcomclickahrchmlydcudfzagluzrvbnbvcquytldyyxboawnzlbvbglawnzlnsawbtbwuzxkvpdwbwmszcglzcmmbmxfzgfpbhkymdicaeadcbcfcecfbd': <gensim.models.word2vec.Vocab at 0x15a2e37b8>,\n 'jda': <gensim.models.word2vec.Vocab at 0x15a2e37f0>,\n 'talents': <gensim.models.word2vec.Vocab at 0x15a2e3828>,\n 'horton': <gensim.models.word2vec.Vocab at 0x15a2e3860>,\n 'mileageplusr': <gensim.models.word2vec.Vocab at 0x15a2e3898>,\n 'httpsmediumcomglobalentrepreneurshipsummitsourceemailccdbafdailydigest': <gensim.models.word2vec.Vocab at 0x15a2e38d0>,\n 'httpsmediumcompauldughisourceemailccdbafdailydigest': <gensim.models.word2vec.Vocab at 0x15a2e3908>,\n 'stolenhttpwwwrgjcomstorynewspoliticsnevadademocraticcaucuseswhatshappeningnowrenoandvegas': <gensim.models.word2vec.Vocab at 0x15a2e3940>,\n 'titled': <gensim.models.word2vec.Vocab at 0x15a2e3978>,\n 'httpwwwcnncompoliticsdonaldtrumpvladimirputinbromance': <gensim.models.word2vec.Vocab at 0x15a2e39b0>,\n 'interestedevent': <gensim.models.word2vec.Vocab at 0x15a2e39e8>,\n 'fourtyfour': <gensim.models.word2vec.Vocab at 0x15a2e3a20>,\n 'safetynet': <gensim.models.word2vec.Vocab at 0x15a2e3a58>,\n 'trailhttpwwwftcomuselection': <gensim.models.word2vec.Vocab at 0x15a2e3a90>,\n 'questionmark': <gensim.models.word2vec.Vocab at 0x15a2e3ac8>,\n 'hacking': <gensim.models.word2vec.Vocab at 0x15a86ba90>,\n 'falls': <gensim.models.word2vec.Vocab at 0x15b0cb550>,\n ...}"
          },
          "execution_count": 86,
          "output_type": "execute_result",
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "pca and svd",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": "cosine similarity",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "collapsed": false,
        "trusted": true
      },
      "cell_type": "code",
      "source": "model.most_similar('private' ,topn=10)",
      "execution_count": 90,
      "outputs": [
        {
          "data": {
            "text/plain": "[('sector', 0.6334954500198364),\n ('server', 0.6149282455444336),\n ('property', 0.5859717726707458),\n ('employee', 0.5775003433227539),\n ('assessments', 0.5543426871299744),\n ('completion', 0.5441495776176453),\n ('probe', 0.5410292148590088),\n ('service', 0.5277994275093079),\n ('encrypted', 0.5215306878089905),\n ('investigations', 0.5137321949005127)]"
          },
          "execution_count": 90,
          "output_type": "execute_result",
          "metadata": {}
        }
      ]
    }
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