{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pyLDAvis\n",
    "import pyLDAvis.sklearn\n",
    "from pyLDAvis._prepare import (js_PCoA, js_MMDS, js_TSNE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import fetch_20newsgroups\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.decomposition import LatentDirichletAllocation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pyLDAvis.enable_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11314\n"
     ]
    }
   ],
   "source": [
    "newsgroup = fetch_20newsgroups(remove=('headers', 'footers', 'quotes'))\n",
    "docs_raw = newsgroup.data\n",
    "print len(docs_raw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## document-term matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "tfidf_vectorizer = TfidfVectorizer(strip_accents = 'unicode', \n",
    "                                   stop_words = 'english', \n",
    "                                   token_pattern = r'\\b[a-zA-Z]{2,}\\b',\n",
    "                                   max_df = 0.5, \n",
    "                                   min_df = 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(11314, 9597)\n"
     ]
    }
   ],
   "source": [
    "dtm_tfidf = tfidf_vectorizer.fit_transform(docs_raw)\n",
    "print dtm_tfidf.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## latent dirichlet allocation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LatentDirichletAllocation(batch_size=128, doc_topic_prior=None,\n",
       "             evaluate_every=-1, learning_decay=0.7,\n",
       "             learning_method='batch', learning_offset=10.0,\n",
       "             max_doc_update_iter=100, max_iter=10, mean_change_tol=0.001,\n",
       "             n_jobs=1, n_topics=20, perp_tol=0.1, random_state=0,\n",
       "             topic_word_prior=None, total_samples=1000000.0, verbose=0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lda = LatentDirichletAllocation(n_topics=20, learning_method='batch', random_state=0)\n",
    "lda.fit(dtm_tfidf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## pyLDAvis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### PCoA / CMDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
       "\n",
       "\n",
       "<div id=\"ldavis_el100771404223081641769900435486\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "var ldavis_el100771404223081641769900435486_data = {\"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], \"token.table\": {\"Topic\": [19, 14, 11, 2, 5, 2, 7, 10, 11, 12, 18, 12, 14, 18, 2, 6, 7, 10, 11, 13, 18, 4, 2, 6, 12, 16, 7, 15, 6, 16, 12, 9, 7, 15, 7, 9, 15, 9, 4, 18, 1, 12, 20, 9, 2, 2, 6, 7, 12, 14, 15, 5, 1, 2, 6, 12, 14, 12, 1, 12, 12, 5, 7, 14, 1, 2, 8, 12, 13, 1, 1, 12, 2, 11, 4, 7, 12, 18, 5, 2, 6, 9, 14, 19, 13, 18, 20, 2, 6, 7, 11, 12, 18, 4, 8, 13, 20, 15, 6, 7, 12, 13, 16, 12, 14, 6, 15, 7, 6, 2, 3, 12, 9, 13, 19, 7, 15, 4, 9, 1, 12, 1, 2, 6, 7, 11, 12, 13, 5, 1, 2, 6, 7, 11, 12, 1, 2, 6, 7, 11, 12, 6, 15, 1, 12, 1, 2, 7, 7, 9, 18, 12, 20, 11, 13, 4, 1, 8, 13, 19, 18, 6, 7, 13, 13, 6, 12, 15, 1, 2, 4, 6, 7, 11, 12, 2, 11, 13, 7, 10, 6, 7, 6, 15, 10, 13, 19, 20, 14, 2, 10, 12, 13, 3, 12, 5, 7, 19, 2, 7, 9, 1, 2, 3, 6, 7, 12, 19, 7, 16, 5, 6, 2, 11, 13, 2, 6, 11, 17, 2, 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      "text/plain": [
       "PreparedData(topic_coordinates=            Freq  cluster  topics         x         y\n",
       "topic                                                \n",
       "0      10.503341        1       1  0.171704  0.164112\n",
       "1      28.438815        1       2  0.201800 -0.089922\n",
       "2       0.994623        1       3 -0.065989  0.015844\n",
       "3       0.948237        1       4 -0.063565  0.018540\n",
       "4       1.029461        1       5 -0.064392  0.004507\n",
       "5      10.277859        1       6  0.141423  0.089090\n",
       "6      11.955222        1       7  0.143332 -0.023628\n",
       "7       0.931453        1       8 -0.051261  0.014630\n",
       "8       1.315214        1       9 -0.106246  0.023164\n",
       "9       1.325113        1      10 -0.069525 -0.020487\n",
       "10      4.498473        1      11  0.120252 -0.247388\n",
       "11     17.741730        1      12  0.149401  0.115454\n",
       "12      1.824888        1      13 -0.028772 -0.098892\n",
       "13      1.057498        1      14 -0.071256  0.027029\n",
       "14      0.981087        1      15 -0.067756  0.020545\n",
       "15      1.122539        1      16 -0.072022  0.017797\n",
       "16      0.988056        1      17 -0.066088  0.012687\n",
       "17      1.656893        1      18 -0.045095 -0.091089\n",
       "18      1.472447        1      19 -0.091967  0.031726\n",
       "19      0.937052        1      20 -0.063979  0.016282, topic_info=     Category        Freq        Term       Total  loglift  logprob\n",
       "term                                                               \n",
       "2638  Default   67.000000       drive   67.000000  30.0000  30.0000\n",
       "3656  Default   81.000000         god   81.000000  29.0000  29.0000\n",
       "8618  Default  108.000000      thanks  108.000000  28.0000  28.0000\n",
       "9398  Default   76.000000     windows   76.000000  27.0000  27.0000\n",
       "1203  Default   56.000000        card   56.000000  26.0000  26.0000\n",
       "3263  Default   54.000000        file   54.000000  25.0000  25.0000\n",
       "3266  Default   40.000000       files   40.000000  24.0000  24.0000\n",
       "2741  Default   87.000000         edu   87.000000  23.0000  23.0000\n",
       "7588  Default   31.000000        scsi   31.000000  22.0000  22.0000\n",
       "3483  Default   31.000000         ftp   31.000000  21.0000  21.0000\n",
       "9159  Default   40.000000     version   40.000000  20.0000  20.0000\n",
       "9397  Default   41.000000      window   41.000000  19.0000  19.0000\n",
       "6659  Default   54.000000     program   54.000000  18.0000  18.0000\n",
       "2569  Default  125.000000        does  125.000000  17.0000  17.0000\n",
       "9178  Default   35.000000       video   35.000000  16.0000  16.0000\n",
       "5488  Default   34.000000     monitor   34.000000  15.0000  15.0000\n",
       "2499  Default   34.000000        disk   34.000000  14.0000  14.0000\n",
       "2593  Default   42.000000         dos   42.000000  13.0000  13.0000\n",
       "5120  Default   68.000000        mail   68.000000  12.0000  12.0000\n",
       "124   Default   38.000000     address   38.000000  11.0000  11.0000\n",
       "1561  Default   61.000000         com   61.000000  10.0000  10.0000\n",
       "3527  Default   48.000000        game   48.000000   9.0000   9.0000\n",
       "1105  Default   26.000000         bus   26.000000   8.0000   8.0000\n",
       "8530  Default   40.000000        team   40.000000   7.0000   7.0000\n",
       "8598  Default   24.000000        test   24.000000   6.0000   6.0000\n",
       "3837  Default   45.000000        hard   45.000000   5.0000   5.0000\n",
       "4574  Default   38.000000       jesus   38.000000   4.0000   4.0000\n",
       "3948  Default   46.000000          hi   46.000000   3.0000   3.0000\n",
       "2642  Default   23.000000      drives   23.000000   2.0000   2.0000\n",
       "1861  Default   22.000000  controller   22.000000   1.0000   1.0000\n",
       "...       ...         ...         ...         ...      ...      ...\n",
       "7364  Topic20    0.958735    robotics    2.231489   3.8254  -6.3447\n",
       "2669  Topic20    2.012382        duke    4.928634   3.7744  -5.6032\n",
       "2898  Topic20    0.808980   envelopes    2.029844   3.7502  -6.5145\n",
       "8683  Topic20    3.866897      ticket    9.774426   3.7429  -4.9501\n",
       "9529  Topic20    1.119211   xputimage    3.144183   3.6373  -6.1899\n",
       "5750  Topic20    2.096357    nonsense    6.293258   3.5709  -5.5624\n",
       "7490  Topic20    0.727430      samuel    2.272779   3.5309  -6.6208\n",
       "6833  Topic20    0.679060   quarterly    2.136343   3.5240  -6.6896\n",
       "4565  Topic20    1.299791        jeep    4.101494   3.5210  -6.0404\n",
       "1122  Topic20    0.498698          bw    1.623146   3.4901  -6.9983\n",
       "870   Topic20    0.885381        bite    2.892924   3.4862  -6.4243\n",
       "3560  Topic20    1.082239        geez    3.630871   3.4597  -6.2235\n",
       "2382  Topic20    1.070237     devoted    3.599249   3.4573  -6.2347\n",
       "7456  Topic20    0.469594          rx    1.589034   3.4512  -7.0585\n",
       "9594  Topic20    0.350972          zq    1.188957   3.4501  -7.3496\n",
       "7459  Topic20    0.528406          rz    1.818195   3.4345  -6.9405\n",
       "6231  Topic20    0.467564        perl    1.614043   3.4312  -7.0628\n",
       "8773  Topic20    0.312267          tp    1.128945   3.3850  -7.4665\n",
       "3537  Topic20    1.903473        gary    6.913224   3.3804  -5.6589\n",
       "8538  Topic20    1.309161  technician    4.886299   3.3531  -6.0332\n",
       "9122  Topic20    0.914287     variant    3.339278   3.3748  -6.3922\n",
       "8845  Topic20    1.281730        tree    5.006041   3.3078  -6.0544\n",
       "8598  Topic20    4.318902        test   24.794514   2.9226  -4.8396\n",
       "7422  Topic20    0.873161          rr    3.403104   3.3099  -6.4382\n",
       "2153  Topic20    3.273311       david   28.411704   2.5092  -5.1168\n",
       "6392  Topic20    1.331068          pm    7.337767   2.9631  -6.0166\n",
       "2495  Topic20    1.007643    diseases    5.368270   2.9973  -6.2950\n",
       "2714  Topic20    1.009780      eating    6.424809   2.8198  -6.2928\n",
       "380   Topic20    0.964631      apollo    5.794740   2.8772  -6.3386\n",
       "2131  Topic20    0.879309       danny    3.686446   3.2369  -6.4312\n",
       "\n",
       "[1016 rows x 6 columns], token_table=      Topic      Freq            Term\n",
       "term                                 \n",
       "17       19  0.597014             abs\n",
       "22       14  0.666034       absolutes\n",
       "39       11  0.836374     accelerator\n",
       "116       2  0.527937             adb\n",
       "116       5  0.351958             adb\n",
       "124       2  0.625637         address\n",
       "124       7  0.052136         address\n",
       "124      10  0.104273         address\n",
       "124      11  0.052136         address\n",
       "124      12  0.078205         address\n",
       "124      18  0.078205         address\n",
       "138      12  0.888627  administration\n",
       "145      14  0.411956       admitting\n",
       "150      18  0.719837          adress\n",
       "154       2  0.588642         advance\n",
       "154       6  0.024527         advance\n",
       "154       7  0.049054         advance\n",
       "154      10  0.024527         advance\n",
       "154      11  0.245268         advance\n",
       "154      13  0.024527         advance\n",
       "154      18  0.049054         advance\n",
       "170       4  0.498933        advocacy\n",
       "237       2  0.303395              al\n",
       "237       6  0.424753              al\n",
       "237      12  0.121358              al\n",
       "237      16  0.121358              al\n",
       "256       7  0.460420         aliases\n",
       "256      15  0.460420         aliases\n",
       "278       6  0.403502          alomar\n",
       "278      16  0.538003          alomar\n",
       "...     ...       ...             ...\n",
       "9519     13  0.657460             xdm\n",
       "9529      9  0.318048       xputimage\n",
       "9529     12  0.318048       xputimage\n",
       "9529     20  0.318048       xputimage\n",
       "9544      2  0.171415         yankees\n",
       "9544      7  0.171415         yankees\n",
       "9544     10  0.514245         yankees\n",
       "9550      1  0.407677             yea\n",
       "9550      8  0.407677             yea\n",
       "9552      1  0.015859            year\n",
       "9552      2  0.190311            year\n",
       "9552      6  0.555072            year\n",
       "9552      7  0.111014            year\n",
       "9552     12  0.126874            year\n",
       "9554      1  0.085130           years\n",
       "9554      2  0.238364           years\n",
       "9554      6  0.221338           years\n",
       "9554      7  0.170260           years\n",
       "9554     12  0.272416           years\n",
       "9568      6  0.218476              yo\n",
       "9568     12  0.218476              yo\n",
       "9568     17  0.436952              yo\n",
       "9575     19  0.780507              yr\n",
       "9578      1  0.148381             yup\n",
       "9578      8  0.593524             yup\n",
       "9578     12  0.148381             yup\n",
       "9590      2  0.073832             zip\n",
       "9590     11  0.073832             zip\n",
       "9590     18  0.738321             zip\n",
       "9590     19  0.073832             zip\n",
       "\n",
       "[2101 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pyLDAvis.sklearn.prepare(lda, dtm_tfidf, tfidf_vectorizer, sort_topics=False, mds=js_PCoA)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MMDS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
       "\n",
       "\n",
       "<div id=\"ldavis_el100771404223081643046092926238\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "var ldavis_el100771404223081643046092926238_data = {\"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], \"token.table\": {\"Topic\": [19, 14, 11, 2, 5, 2, 7, 10, 11, 12, 18, 12, 14, 18, 2, 6, 7, 10, 11, 13, 18, 4, 2, 6, 12, 16, 7, 15, 6, 16, 12, 9, 7, 15, 7, 9, 15, 9, 4, 18, 1, 12, 20, 9, 2, 2, 6, 7, 12, 14, 15, 5, 1, 2, 6, 12, 14, 12, 1, 12, 12, 5, 7, 14, 1, 2, 8, 12, 13, 1, 1, 12, 2, 11, 4, 7, 12, 18, 5, 2, 6, 9, 14, 19, 13, 18, 20, 2, 6, 7, 11, 12, 18, 4, 8, 13, 20, 15, 6, 7, 12, 13, 16, 12, 14, 6, 15, 7, 6, 2, 3, 12, 9, 13, 19, 7, 15, 4, 9, 1, 12, 1, 2, 6, 7, 11, 12, 13, 5, 1, 2, 6, 7, 11, 12, 1, 2, 6, 7, 11, 12, 6, 15, 1, 12, 1, 2, 7, 7, 9, 18, 12, 20, 11, 13, 4, 1, 8, 13, 19, 18, 6, 7, 13, 13, 6, 12, 15, 1, 2, 4, 6, 7, 11, 12, 2, 11, 13, 7, 10, 6, 7, 6, 15, 10, 13, 19, 20, 14, 2, 10, 12, 13, 3, 12, 5, 7, 19, 2, 7, 9, 1, 2, 3, 6, 7, 12, 19, 7, 16, 5, 6, 2, 11, 13, 2, 6, 11, 17, 2, 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      "text/plain": [
       "PreparedData(topic_coordinates=            Freq  cluster  topics         x         y\n",
       "topic                                                \n",
       "0      10.503341        1       1 -0.293776 -0.123281\n",
       "1      28.438815        1       2 -0.260388  0.012623\n",
       "2       0.994623        1       3  0.032939 -0.016665\n",
       "3       0.948237        1       4  0.005734 -0.038208\n",
       "4       1.029461        1       5  0.105541  0.039861\n",
       "5      10.277859        1       6 -0.142686  0.256511\n",
       "6      11.955222        1       7 -0.223201  0.130338\n",
       "7       0.931453        1       8 -0.014763 -0.005552\n",
       "8       1.315214        1       9  0.035621 -0.129733\n",
       "9       1.325113        1      10  0.133553 -0.109759\n",
       "10      4.498473        1      11  0.027108 -0.323114\n",
       "11     17.741730        1      12  0.020211  0.287044\n",
       "12      1.824888        1      13 -0.090007 -0.189933\n",
       "13      1.057498        1      14  0.030210  0.066760\n",
       "14      0.981087        1      15 -0.009940  0.031133\n",
       "15      1.122539        1      16  0.060389  0.107625\n",
       "16      0.988056        1      17  0.087234 -0.027060\n",
       "17      1.656893        1      18  0.235478 -0.072457\n",
       "18      1.472447        1      19  0.193287  0.093513\n",
       "19      0.937052        1      20  0.067459  0.010357, topic_info=     Category        Freq        Term       Total  loglift  logprob\n",
       "term                                                               \n",
       "2638  Default   67.000000       drive   67.000000  30.0000  30.0000\n",
       "3656  Default   81.000000         god   81.000000  29.0000  29.0000\n",
       "8618  Default  108.000000      thanks  108.000000  28.0000  28.0000\n",
       "9398  Default   76.000000     windows   76.000000  27.0000  27.0000\n",
       "1203  Default   56.000000        card   56.000000  26.0000  26.0000\n",
       "3263  Default   54.000000        file   54.000000  25.0000  25.0000\n",
       "3266  Default   40.000000       files   40.000000  24.0000  24.0000\n",
       "2741  Default   87.000000         edu   87.000000  23.0000  23.0000\n",
       "7588  Default   31.000000        scsi   31.000000  22.0000  22.0000\n",
       "3483  Default   31.000000         ftp   31.000000  21.0000  21.0000\n",
       "9159  Default   40.000000     version   40.000000  20.0000  20.0000\n",
       "9397  Default   41.000000      window   41.000000  19.0000  19.0000\n",
       "6659  Default   54.000000     program   54.000000  18.0000  18.0000\n",
       "2569  Default  125.000000        does  125.000000  17.0000  17.0000\n",
       "9178  Default   35.000000       video   35.000000  16.0000  16.0000\n",
       "5488  Default   34.000000     monitor   34.000000  15.0000  15.0000\n",
       "2499  Default   34.000000        disk   34.000000  14.0000  14.0000\n",
       "2593  Default   42.000000         dos   42.000000  13.0000  13.0000\n",
       "5120  Default   68.000000        mail   68.000000  12.0000  12.0000\n",
       "124   Default   38.000000     address   38.000000  11.0000  11.0000\n",
       "1561  Default   61.000000         com   61.000000  10.0000  10.0000\n",
       "3527  Default   48.000000        game   48.000000   9.0000   9.0000\n",
       "1105  Default   26.000000         bus   26.000000   8.0000   8.0000\n",
       "8530  Default   40.000000        team   40.000000   7.0000   7.0000\n",
       "8598  Default   24.000000        test   24.000000   6.0000   6.0000\n",
       "3837  Default   45.000000        hard   45.000000   5.0000   5.0000\n",
       "4574  Default   38.000000       jesus   38.000000   4.0000   4.0000\n",
       "3948  Default   46.000000          hi   46.000000   3.0000   3.0000\n",
       "2642  Default   23.000000      drives   23.000000   2.0000   2.0000\n",
       "1861  Default   22.000000  controller   22.000000   1.0000   1.0000\n",
       "...       ...         ...         ...         ...      ...      ...\n",
       "7364  Topic20    0.958735    robotics    2.231489   3.8254  -6.3447\n",
       "2669  Topic20    2.012382        duke    4.928634   3.7744  -5.6032\n",
       "2898  Topic20    0.808980   envelopes    2.029844   3.7502  -6.5145\n",
       "8683  Topic20    3.866897      ticket    9.774426   3.7429  -4.9501\n",
       "9529  Topic20    1.119211   xputimage    3.144183   3.6373  -6.1899\n",
       "5750  Topic20    2.096357    nonsense    6.293258   3.5709  -5.5624\n",
       "7490  Topic20    0.727430      samuel    2.272779   3.5309  -6.6208\n",
       "6833  Topic20    0.679060   quarterly    2.136343   3.5240  -6.6896\n",
       "4565  Topic20    1.299791        jeep    4.101494   3.5210  -6.0404\n",
       "1122  Topic20    0.498698          bw    1.623146   3.4901  -6.9983\n",
       "870   Topic20    0.885381        bite    2.892924   3.4862  -6.4243\n",
       "3560  Topic20    1.082239        geez    3.630871   3.4597  -6.2235\n",
       "2382  Topic20    1.070237     devoted    3.599249   3.4573  -6.2347\n",
       "7456  Topic20    0.469594          rx    1.589034   3.4512  -7.0585\n",
       "9594  Topic20    0.350972          zq    1.188957   3.4501  -7.3496\n",
       "7459  Topic20    0.528406          rz    1.818195   3.4345  -6.9405\n",
       "6231  Topic20    0.467564        perl    1.614043   3.4312  -7.0628\n",
       "8773  Topic20    0.312267          tp    1.128945   3.3850  -7.4665\n",
       "3537  Topic20    1.903473        gary    6.913224   3.3804  -5.6589\n",
       "8538  Topic20    1.309161  technician    4.886299   3.3531  -6.0332\n",
       "9122  Topic20    0.914287     variant    3.339278   3.3748  -6.3922\n",
       "8845  Topic20    1.281730        tree    5.006041   3.3078  -6.0544\n",
       "8598  Topic20    4.318902        test   24.794514   2.9226  -4.8396\n",
       "7422  Topic20    0.873161          rr    3.403104   3.3099  -6.4382\n",
       "2153  Topic20    3.273311       david   28.411704   2.5092  -5.1168\n",
       "6392  Topic20    1.331068          pm    7.337767   2.9631  -6.0166\n",
       "2495  Topic20    1.007643    diseases    5.368270   2.9973  -6.2950\n",
       "2714  Topic20    1.009780      eating    6.424809   2.8198  -6.2928\n",
       "380   Topic20    0.964631      apollo    5.794740   2.8772  -6.3386\n",
       "2131  Topic20    0.879309       danny    3.686446   3.2369  -6.4312\n",
       "\n",
       "[1016 rows x 6 columns], token_table=      Topic      Freq            Term\n",
       "term                                 \n",
       "17       19  0.597014             abs\n",
       "22       14  0.666034       absolutes\n",
       "39       11  0.836374     accelerator\n",
       "116       2  0.527937             adb\n",
       "116       5  0.351958             adb\n",
       "124       2  0.625637         address\n",
       "124       7  0.052136         address\n",
       "124      10  0.104273         address\n",
       "124      11  0.052136         address\n",
       "124      12  0.078205         address\n",
       "124      18  0.078205         address\n",
       "138      12  0.888627  administration\n",
       "145      14  0.411956       admitting\n",
       "150      18  0.719837          adress\n",
       "154       2  0.588642         advance\n",
       "154       6  0.024527         advance\n",
       "154       7  0.049054         advance\n",
       "154      10  0.024527         advance\n",
       "154      11  0.245268         advance\n",
       "154      13  0.024527         advance\n",
       "154      18  0.049054         advance\n",
       "170       4  0.498933        advocacy\n",
       "237       2  0.303395              al\n",
       "237       6  0.424753              al\n",
       "237      12  0.121358              al\n",
       "237      16  0.121358              al\n",
       "256       7  0.460420         aliases\n",
       "256      15  0.460420         aliases\n",
       "278       6  0.403502          alomar\n",
       "278      16  0.538003          alomar\n",
       "...     ...       ...             ...\n",
       "9519     13  0.657460             xdm\n",
       "9529      9  0.318048       xputimage\n",
       "9529     12  0.318048       xputimage\n",
       "9529     20  0.318048       xputimage\n",
       "9544      2  0.171415         yankees\n",
       "9544      7  0.171415         yankees\n",
       "9544     10  0.514245         yankees\n",
       "9550      1  0.407677             yea\n",
       "9550      8  0.407677             yea\n",
       "9552      1  0.015859            year\n",
       "9552      2  0.190311            year\n",
       "9552      6  0.555072            year\n",
       "9552      7  0.111014            year\n",
       "9552     12  0.126874            year\n",
       "9554      1  0.085130           years\n",
       "9554      2  0.238364           years\n",
       "9554      6  0.221338           years\n",
       "9554      7  0.170260           years\n",
       "9554     12  0.272416           years\n",
       "9568      6  0.218476              yo\n",
       "9568     12  0.218476              yo\n",
       "9568     17  0.436952              yo\n",
       "9575     19  0.780507              yr\n",
       "9578      1  0.148381             yup\n",
       "9578      8  0.593524             yup\n",
       "9578     12  0.148381             yup\n",
       "9590      2  0.073832             zip\n",
       "9590     11  0.073832             zip\n",
       "9590     18  0.738321             zip\n",
       "9590     19  0.073832             zip\n",
       "\n",
       "[2101 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pyLDAvis.sklearn.prepare(lda, dtm_tfidf, tfidf_vectorizer, sort_topics=False, mds=js_MMDS)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "PreparedData(topic_coordinates=            Freq  cluster  topics           x           y\n",
       "topic                                                    \n",
       "0      10.503341        1       1  -19.076361   19.202361\n",
       "1      28.438815        1       2   34.508946 -241.254927\n",
       "2       0.994623        1       3   75.072525  300.275330\n",
       "3       0.948237        1       4  182.725150  -77.903522\n",
       "4       1.029461        1       5  -68.233412 -182.249941\n",
       "5      10.277859        1       6  -23.627804  -83.292323\n",
       "6      11.955222        1       7  134.466032  462.075964\n",
       "7       0.931453        1       8   80.976567 -141.300070\n",
       "8       1.315214        1       9  -54.676999 -453.431738\n",
       "9       1.325113        1      10   82.161661   83.524152\n",
       "10      4.498473        1      11 -152.280733  -58.977112\n",
       "11     17.741730        1      12  -69.876013  187.256978\n",
       "12      1.824888        1      13   39.312714  184.903147\n",
       "13      1.057498        1      14 -200.524984   56.533852\n",
       "14      0.981087        1      15   82.110910  -24.444788\n",
       "15      1.122539        1      16  200.904107   66.865435\n",
       "16      0.988056        1      17  164.767475  191.398483\n",
       "17      1.656893        1      18  -96.840092   84.175119\n",
       "18      1.472447        1      19 -108.093813 -325.038761\n",
       "19      0.937052        1      20 -184.160473 -174.006877, topic_info=     Category        Freq        Term       Total  loglift  logprob\n",
       "term                                                               \n",
       "2638  Default   67.000000       drive   67.000000  30.0000  30.0000\n",
       "3656  Default   81.000000         god   81.000000  29.0000  29.0000\n",
       "8618  Default  108.000000      thanks  108.000000  28.0000  28.0000\n",
       "9398  Default   76.000000     windows   76.000000  27.0000  27.0000\n",
       "1203  Default   56.000000        card   56.000000  26.0000  26.0000\n",
       "3263  Default   54.000000        file   54.000000  25.0000  25.0000\n",
       "3266  Default   40.000000       files   40.000000  24.0000  24.0000\n",
       "2741  Default   87.000000         edu   87.000000  23.0000  23.0000\n",
       "7588  Default   31.000000        scsi   31.000000  22.0000  22.0000\n",
       "3483  Default   31.000000         ftp   31.000000  21.0000  21.0000\n",
       "9159  Default   40.000000     version   40.000000  20.0000  20.0000\n",
       "9397  Default   41.000000      window   41.000000  19.0000  19.0000\n",
       "6659  Default   54.000000     program   54.000000  18.0000  18.0000\n",
       "2569  Default  125.000000        does  125.000000  17.0000  17.0000\n",
       "9178  Default   35.000000       video   35.000000  16.0000  16.0000\n",
       "5488  Default   34.000000     monitor   34.000000  15.0000  15.0000\n",
       "2499  Default   34.000000        disk   34.000000  14.0000  14.0000\n",
       "2593  Default   42.000000         dos   42.000000  13.0000  13.0000\n",
       "5120  Default   68.000000        mail   68.000000  12.0000  12.0000\n",
       "124   Default   38.000000     address   38.000000  11.0000  11.0000\n",
       "1561  Default   61.000000         com   61.000000  10.0000  10.0000\n",
       "3527  Default   48.000000        game   48.000000   9.0000   9.0000\n",
       "1105  Default   26.000000         bus   26.000000   8.0000   8.0000\n",
       "8530  Default   40.000000        team   40.000000   7.0000   7.0000\n",
       "8598  Default   24.000000        test   24.000000   6.0000   6.0000\n",
       "3837  Default   45.000000        hard   45.000000   5.0000   5.0000\n",
       "4574  Default   38.000000       jesus   38.000000   4.0000   4.0000\n",
       "3948  Default   46.000000          hi   46.000000   3.0000   3.0000\n",
       "2642  Default   23.000000      drives   23.000000   2.0000   2.0000\n",
       "1861  Default   22.000000  controller   22.000000   1.0000   1.0000\n",
       "...       ...         ...         ...         ...      ...      ...\n",
       "7364  Topic20    0.958735    robotics    2.231489   3.8254  -6.3447\n",
       "2669  Topic20    2.012382        duke    4.928634   3.7744  -5.6032\n",
       "2898  Topic20    0.808980   envelopes    2.029844   3.7502  -6.5145\n",
       "8683  Topic20    3.866897      ticket    9.774426   3.7429  -4.9501\n",
       "9529  Topic20    1.119211   xputimage    3.144183   3.6373  -6.1899\n",
       "5750  Topic20    2.096357    nonsense    6.293258   3.5709  -5.5624\n",
       "7490  Topic20    0.727430      samuel    2.272779   3.5309  -6.6208\n",
       "6833  Topic20    0.679060   quarterly    2.136343   3.5240  -6.6896\n",
       "4565  Topic20    1.299791        jeep    4.101494   3.5210  -6.0404\n",
       "1122  Topic20    0.498698          bw    1.623146   3.4901  -6.9983\n",
       "870   Topic20    0.885381        bite    2.892924   3.4862  -6.4243\n",
       "3560  Topic20    1.082239        geez    3.630871   3.4597  -6.2235\n",
       "2382  Topic20    1.070237     devoted    3.599249   3.4573  -6.2347\n",
       "7456  Topic20    0.469594          rx    1.589034   3.4512  -7.0585\n",
       "9594  Topic20    0.350972          zq    1.188957   3.4501  -7.3496\n",
       "7459  Topic20    0.528406          rz    1.818195   3.4345  -6.9405\n",
       "6231  Topic20    0.467564        perl    1.614043   3.4312  -7.0628\n",
       "8773  Topic20    0.312267          tp    1.128945   3.3850  -7.4665\n",
       "3537  Topic20    1.903473        gary    6.913224   3.3804  -5.6589\n",
       "8538  Topic20    1.309161  technician    4.886299   3.3531  -6.0332\n",
       "9122  Topic20    0.914287     variant    3.339278   3.3748  -6.3922\n",
       "8845  Topic20    1.281730        tree    5.006041   3.3078  -6.0544\n",
       "8598  Topic20    4.318902        test   24.794514   2.9226  -4.8396\n",
       "7422  Topic20    0.873161          rr    3.403104   3.3099  -6.4382\n",
       "2153  Topic20    3.273311       david   28.411704   2.5092  -5.1168\n",
       "6392  Topic20    1.331068          pm    7.337767   2.9631  -6.0166\n",
       "2495  Topic20    1.007643    diseases    5.368270   2.9973  -6.2950\n",
       "2714  Topic20    1.009780      eating    6.424809   2.8198  -6.2928\n",
       "380   Topic20    0.964631      apollo    5.794740   2.8772  -6.3386\n",
       "2131  Topic20    0.879309       danny    3.686446   3.2369  -6.4312\n",
       "\n",
       "[1016 rows x 6 columns], token_table=      Topic      Freq            Term\n",
       "term                                 \n",
       "17       19  0.597014             abs\n",
       "22       14  0.666034       absolutes\n",
       "39       11  0.836374     accelerator\n",
       "116       2  0.527937             adb\n",
       "116       5  0.351958             adb\n",
       "124       2  0.625637         address\n",
       "124       7  0.052136         address\n",
       "124      10  0.104273         address\n",
       "124      11  0.052136         address\n",
       "124      12  0.078205         address\n",
       "124      18  0.078205         address\n",
       "138      12  0.888627  administration\n",
       "145      14  0.411956       admitting\n",
       "150      18  0.719837          adress\n",
       "154       2  0.588642         advance\n",
       "154       6  0.024527         advance\n",
       "154       7  0.049054         advance\n",
       "154      10  0.024527         advance\n",
       "154      11  0.245268         advance\n",
       "154      13  0.024527         advance\n",
       "154      18  0.049054         advance\n",
       "170       4  0.498933        advocacy\n",
       "237       2  0.303395              al\n",
       "237       6  0.424753              al\n",
       "237      12  0.121358              al\n",
       "237      16  0.121358              al\n",
       "256       7  0.460420         aliases\n",
       "256      15  0.460420         aliases\n",
       "278       6  0.403502          alomar\n",
       "278      16  0.538003          alomar\n",
       "...     ...       ...             ...\n",
       "9519     13  0.657460             xdm\n",
       "9529      9  0.318048       xputimage\n",
       "9529     12  0.318048       xputimage\n",
       "9529     20  0.318048       xputimage\n",
       "9544      2  0.171415         yankees\n",
       "9544      7  0.171415         yankees\n",
       "9544     10  0.514245         yankees\n",
       "9550      1  0.407677             yea\n",
       "9550      8  0.407677             yea\n",
       "9552      1  0.015859            year\n",
       "9552      2  0.190311            year\n",
       "9552      6  0.555072            year\n",
       "9552      7  0.111014            year\n",
       "9552     12  0.126874            year\n",
       "9554      1  0.085130           years\n",
       "9554      2  0.238364           years\n",
       "9554      6  0.221338           years\n",
       "9554      7  0.170260           years\n",
       "9554     12  0.272416           years\n",
       "9568      6  0.218476              yo\n",
       "9568     12  0.218476              yo\n",
       "9568     17  0.436952              yo\n",
       "9575     19  0.780507              yr\n",
       "9578      1  0.148381             yup\n",
       "9578      8  0.593524             yup\n",
       "9578     12  0.148381             yup\n",
       "9590      2  0.073832             zip\n",
       "9590     11  0.073832             zip\n",
       "9590     18  0.738321             zip\n",
       "9590     19  0.073832             zip\n",
       "\n",
       "[2101 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pyLDAvis.sklearn.prepare(lda, dtm_tfidf, tfidf_vectorizer, sort_topics=False, mds=js_TSNE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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