ml-finance-python

lda_yelp_reviews.ipynb

(2701750B)

 {
  "cells": [
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "# Topic Modeling: Yelp Business Reviews"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "This notebook contains an example of LDA applied to six million business review on yelp."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## Imports & Settings"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:02:15.358824Z",
      "start_time": "2018-12-04T03:02:14.932109Z"
     },
     "slideshow": {
      "slide_type": "fragment"
     }
    },
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import warnings\n",
     "from collections import Counter\n",
     "from pathlib import Path\n",
     "\n",
     "import numpy as np\n",
     "import pandas as pd\n",
     "from scipy import sparse\n",
     "\n",
     "# Visualization\n",
     "import matplotlib.pyplot as plt\n",
     "from matplotlib.ticker import FuncFormatter, ScalarFormatter\n",
     "import seaborn as sns\n",
     "import ipywidgets as widgets\n",
     "from ipywidgets import interact, FloatRangeSlider\n",
     "\n",
     "# spacy for language processing\n",
     "import spacy\n",
     "from spacy.lang.en.stop_words import STOP_WORDS\n",
     "\n",
     "# sklearn for feature extraction\n",
     "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer\n",
     "from sklearn.feature_extraction import stop_words\n",
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.externals import joblib\n",
     "\n",
     "# gensim for topic models\n",
     "from gensim.models import LdaModel\n",
     "from gensim.models import CoherenceModel\n",
     "from gensim.corpora import Dictionary\n",
     "from gensim.matutils import Sparse2Corpus\n",
     "\n",
     "# topic model viz\n",
     "import pyLDAvis\n",
     "from pyLDAvis.gensim import prepare"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:02:15.363159Z",
      "start_time": "2018-12-04T03:02:15.360176Z"
     }
    },
    "outputs": [],
    "source": [
     "plt.style.use('fivethirtyeight')\n",
     "pyLDAvis.enable_notebook()\n",
     "warnings.filterwarnings('ignore')\n",
     "pd.options.display.float_format = '{:,.2f}'.format"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:09:24.382810Z",
      "start_time": "2018-12-04T03:09:24.199029Z"
     }
    },
    "outputs": [],
    "source": [
     "stop_words = set(pd.read_csv('http://ir.dcs.gla.ac.uk/resources/linguistic_utils/stop_words',\n",
     "                             header=None,\n",
     "                             squeeze=True).tolist())"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:02:16.790214Z",
      "start_time": "2018-12-04T03:02:16.788373Z"
     }
    },
    "outputs": [],
    "source": [
     "experiment_path = Path('experiments')\n",
     "data_path = Path('data')\n",
     "clean_path = Path('data', 'clean_reviews.txt')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "skip"
     }
    },
    "source": [
     "## Load Yelp Reviews"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
     "data_path = Path('..', '..', 'data', 'yelp')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "<class 'pandas.core.frame.DataFrame'>\n",
       "Int64Index: 6685900 entries, 0 to 6685899\n",
       "Data columns (total 25 columns):\n",
       "cool                  6685900 non-null int64\n",
       "funny                 6685900 non-null int64\n",
       "stars                 6685900 non-null float64\n",
       "text                  6685900 non-null object\n",
       "useful                6685900 non-null int64\n",
       "year                  6685900 non-null int64\n",
       "month                 6685900 non-null int64\n",
       "average_stars         6685900 non-null float64\n",
       "compliment_cool       6685900 non-null int64\n",
       "compliment_cute       6685900 non-null int64\n",
       "compliment_funny      6685900 non-null int64\n",
       "compliment_hot        6685900 non-null int64\n",
       "compliment_list       6685900 non-null int64\n",
       "compliment_more       6685900 non-null int64\n",
       "compliment_note       6685900 non-null int64\n",
       "compliment_photos     6685900 non-null int64\n",
       "compliment_plain      6685900 non-null int64\n",
       "compliment_profile    6685900 non-null int64\n",
       "compliment_writer     6685900 non-null int64\n",
       "cool_user             6685900 non-null int64\n",
       "fans                  6685900 non-null int64\n",
       "funny_user            6685900 non-null int64\n",
       "review_count          6685900 non-null int64\n",
       "useful_user           6685900 non-null int64\n",
       "member_yrs            6685900 non-null int64\n",
       "dtypes: float64(2), int64(22), object(1)\n",
       "memory usage: 1.3+ GB\n"
      ]
     }
    ],
    "source": [
     "reviews = pd.read_parquet(data_path / 'combined.parquet')\n",
     "reviews.info(null_counts=True)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Tokens per review"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:04:02.975306Z",
      "start_time": "2018-12-04T03:02:46.511907Z"
     }
    },
    "outputs": [
     {
      "data": {
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "sns.distplot(reviews.text.str.split().str.len(), kde=False);"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T21:10:10.616492Z",
      "start_time": "2018-11-26T21:08:24.022723Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "1000000 2000000 3000000 4000000 5000000 6000000 "
      ]
     }
    ],
    "source": [
     "token_count = Counter()\n",
     "for i, doc in enumerate(reviews.text.tolist(), 1):\n",
     "    if i % 1e6 == 0:\n",
     "        print(i, end=' ', flush=True)\n",
     "    token_count.update(doc.split())"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T21:10:14.451017Z",
      "start_time": "2018-11-26T21:10:10.617858Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 576x720 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "(pd.DataFrame(token_count.most_common(), columns=['token', 'count'])\n",
     " .pipe(lambda x: x[~x.token.str.lower().isin(stop_words)])\n",
     " .set_index('token')\n",
     " .squeeze()\n",
     " .iloc[:50]\n",
     " .sort_values()\n",
     " .plot\n",
     " .barh(figsize=(8, 10)));"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Preprocessing"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T21:10:14.454933Z",
      "start_time": "2018-11-26T21:10:14.452198Z"
     }
    },
    "outputs": [],
    "source": [
     "def clean_doc(d):\n",
     "    doc = []\n",
     "    for t in d:\n",
     "        if not any([t.is_stop, t.is_digit, not t.is_alpha, t.is_punct, t.is_space, t.lemma_ == '-PRON-']):        \n",
     "            doc.append(t.lemma_)\n",
     "    return ' '.join(doc)    "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 23,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T21:28:44.207092Z",
      "start_time": "2018-11-26T21:28:43.891254Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "[('ner', <spacy.pipeline.EntityRecognizer at 0x7f5b8955fe08>)]"
       ]
      },
      "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "nlp = spacy.load('en')\n",
     "nlp.max_length = 6000000\n",
     "nlp.disable_pipes('ner')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 24,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T21:28:54.068151Z",
      "start_time": "2018-11-26T21:28:54.065213Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "['tagger', 'parser']"
       ]
      },
      "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "nlp.pipe_names"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T22:58:16.037004Z",
      "start_time": "2018-11-26T21:42:53.955005Z"
     }
    },
    "outputs": [],
    "source": [
     "iter_reviews = (review for review in reviews.text)\n",
     "clean_reviews = []\n",
     "for i, doc in enumerate(nlp.pipe(iter_reviews, batch_size=100, n_threads=8)):\n",
     "    if i % 10000 == 0: \n",
     "        print(f'{i/len(reviews):.2%}', end=' ', flush=True)\n",
     "    clean_reviews.append(clean_doc(doc))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T21:35:50.230422Z",
      "start_time": "2018-11-26T21:35:37.576Z"
     }
    },
    "outputs": [],
    "source": [
     "clean_reviews = [clean_doc(doc) for doc in parsed_reviews]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T21:35:20.789207Z",
      "start_time": "2018-11-26T21:35:07.329Z"
     }
    },
    "outputs": [],
    "source": [
     "clean_path.write_text('\\n'.join(clean_reviews))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "source": [
     "## Vectorize data"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:04:21.346420Z",
      "start_time": "2018-12-04T03:04:17.247675Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "5990000"
       ]
      },
      "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "docs = clean_path.read_text().split('\\n')\n",
     "len(docs)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Explore cleaned data"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 24,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:13:54.473141Z",
      "start_time": "2018-12-04T03:13:01.670920Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "1000000 2000000 3000000 4000000 5000000 "
      ]
     }
    ],
    "source": [
     "review_length, token_count = [], Counter()\n",
     "for i, doc in enumerate(docs, 1):\n",
     "    if i % 1e6 == 0:\n",
     "        print(i, end=' ', flush=True)\n",
     "    d = doc.split()\n",
     "    review_length.append(len(d))\n",
     "    token_count.update(d)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 43,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:20:05.470791Z",
      "start_time": "2018-12-04T03:20:03.398789Z"
     }
    },
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
       "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n"
      ]
     },
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1080x360 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "fig, axes = plt.subplots(ncols=2, figsize=(15, 5))\n",
     "(pd.DataFrame(token_count.most_common(), columns=['token', 'count'])\n",
     " .pipe(lambda x: x[~x.token.str.lower().isin(stop_words)])\n",
     " .set_index('token')\n",
     " .squeeze()\n",
     " .iloc[:25]\n",
     " .sort_values()\n",
     " .plot\n",
     " .barh(ax=axes[0]))\n",
     "\n",
     "sns.boxenplot(x=pd.Series(review_length), ax=axes[1]);"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 44,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:20:22.398354Z",
      "start_time": "2018-12-04T03:20:21.397234Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "count   5,990,000.00\n",
        "mean           50.88\n",
        "std            46.50\n",
        "min             0.00\n",
        "10%            14.00\n",
        "20%            18.00\n",
        "30.0%          24.00\n",
        "40%            29.00\n",
        "50%            36.00\n",
        "60%            45.00\n",
        "70%            57.00\n",
        "80%            74.00\n",
        "90%           105.00\n",
        "max           799.00\n",
        "dtype: float64"
       ]
      },
      "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "pd.Series(review_length).describe(percentiles=np.arange(.1, 1.0, .1))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T02:01:43.603719Z",
      "start_time": "2018-12-04T02:01:43.600611Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "['the pizza okay not good prefer biaggio flamingo fort apache the chef much good ny style pizza the pizzeria cosmo price quality lack personality food biaggio good pick go italian family own home recipe people actually care like food not pizzeria casino not care',\n",
        " 'love place fiance and atleast week the portion huge food amazing love carne asada great lunch special leticia super nice care think restaurant try cheese enchilada sauce different and amazing']"
       ]
      },
      "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "docs[:2]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T02:02:13.173420Z",
      "start_time": "2018-12-04T02:02:13.169994Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "0    The pizza was okay. Not the best I've had. I p...\n",
        "1    I love this place! My fiance And I go here atl...\n",
        "Name: text, dtype: object"
       ]
      },
      "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "reviews.text.head(2)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Set vocab parameters"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "min_df = 1000\n",
     "max_df = .2\n",
     "ngram_range = (1, 1)\n",
     "binary = False"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 319,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T20:33:15.487411Z",
      "start_time": "2018-11-26T20:33:13.273557Z"
     }
    },
    "outputs": [],
    "source": [
     "vectorizer = CountVectorizer(stop_words='english',\n",
     "                             min_df=min_df,\n",
     "                             max_df=max_df,\n",
     "                             ngram_range=ngram_range,\n",
     "                             binary=binary)\n",
     "dtm = doc_vect.fit_transform(docs)\n",
     "tokens = doc_vect.get_feature_names()\n",
     "dtm.shape"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 321,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T20:33:17.062134Z",
      "start_time": "2018-11-26T20:33:16.818242Z"
     },
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "outputs": [],
    "source": [
     "corpus = Sparse2Corpus(dtm, documents_columns=False)\n",
     "id2word = pd.Series(tokens).to_dict()\n",
     "dictionary = Dictionary.from_corpus(corpus, id2word)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Train & Evaluate LDA Model"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 45,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:21:07.376737Z",
      "start_time": "2018-12-04T03:21:07.373032Z"
     }
    },
    "outputs": [],
    "source": [
     "def show_word_list(model, corpus, top=10, save=False):\n",
     "    top_topics = model.top_topics(corpus=corpus, coherence='u_mass', topn=20)\n",
     "    words, probs = [], []\n",
     "    for top_topic, _ in top_topics:\n",
     "        words.append([t[1] for t in top_topic[:top]])\n",
     "        probs.append([t[0] for t in top_topic[:top]])\n",
     "\n",
     "    fig, ax = plt.subplots(figsize=(model.num_topics*1.2, 5))\n",
     "    sns.heatmap(pd.DataFrame(probs).T,\n",
     "                annot=pd.DataFrame(words).T,\n",
     "                fmt='',\n",
     "                ax=ax,\n",
     "                cmap='Blues',\n",
     "                cbar=False)\n",
     "    fig.tight_layout()\n",
     "    if save:\n",
     "        fig.savefig('yelp_wordlist', dpi=300)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 46,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:21:07.938187Z",
      "start_time": "2018-12-04T03:21:07.933919Z"
     }
    },
    "outputs": [],
    "source": [
     "def show_coherence(model, corpus, tokens, top=10, cutoff=0.01):\n",
     "    top_topics = model.top_topics(corpus=corpus, coherence='u_mass', topn=20)\n",
     "    word_lists = pd.DataFrame(model.get_topics().T, index=tokens)\n",
     "    order = []\n",
     "    for w, word_list in word_lists.items():\n",
     "        target = set(word_list.nlargest(top).index)\n",
     "        for t, (top_topic, _) in enumerate(top_topics):\n",
     "            if target == set([t[1] for t in top_topic[:top]]):\n",
     "                order.append(t)\n",
     "\n",
     "    fig, axes = plt.subplots(ncols=2, figsize=(15,5))\n",
     "    title = f'# Words with Probability > {cutoff:.2%}'\n",
     "    (word_lists.loc[:, order]>cutoff).sum().reset_index(drop=True).plot.bar(title=title, ax=axes[1]);\n",
     "\n",
     "    umass = model.top_topics(corpus=corpus, coherence='u_mass', topn=20)\n",
     "    pd.Series([c[1] for c in umass]).plot.bar(title='Topic Coherence', ax=axes[0])\n",
     "    fig.tight_layout();"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 47,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:21:08.477118Z",
      "start_time": "2018-12-04T03:21:08.473302Z"
     }
    },
    "outputs": [],
    "source": [
     "def show_top_docs(model, corpus, docs):\n",
     "    doc_topics = model.get_document_topics(corpus)\n",
     "    df = pd.concat([pd.DataFrame(doc_topic, \n",
     "                                 columns=['topicid', 'weight']).assign(doc=i) \n",
     "                    for i, doc_topic in enumerate(doc_topics)])\n",
     "\n",
     "    for topicid, data in df.groupby('topicid'):\n",
     "        print(topicid, docs[int(data.sort_values('weight', ascending=False).iloc[0].doc)])\n",
     "        print(pd.DataFrame(lda.show_topic(topicid=topicid)))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 322,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T20:33:17.066533Z",
      "start_time": "2018-11-26T20:33:17.063460Z"
     }
    },
    "outputs": [],
    "source": [
     "num_topics=25\n",
     "chunksize=2000\n",
     "passes=10\n",
     "update_every=None\n",
     "alpha='auto'\n",
     "eta='auto'\n",
     "decay=0.5\n",
     "offset=1.0\n",
     "eval_every=None\n",
     "iterations=50\n",
     "gamma_threshold=0.001\n",
     "minimum_probability=0.01\n",
     "minimum_phi_value=0.01\n",
     "per_word_topics=False"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 323,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T20:34:09.864546Z",
      "start_time": "2018-11-26T20:33:18.124106Z"
     },
     "slideshow": {
      "slide_type": "fragment"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "CPU times: user 55.3 s, sys: 8.76 s, total: 1min 4s\n",
       "Wall time: 51.7 s\n"
      ]
     }
    ],
    "source": [
     "lda_model = LdaModel(corpus=doc_corpus,\n",
     "                     id2word=doc_id2word,\n",
     "                     num_topics=num_topics,\n",
     "                     chunksize=chunksize,\n",
     "                     update_every=update_every,\n",
     "                     alpha=alpha,\n",
     "                     eta=eta,\n",
     "                     decay=decay,\n",
     "                     offset=offset,\n",
     "                     eval_every=eval_every,\n",
     "                     passes=passes,\n",
     "                     iterations=iterations,\n",
     "                     gamma_threshold=gamma_threshold,\n",
     "                     minimum_probability=minimum_probability,\n",
     "                     minimum_phi_value=minimum_phi_value,\n",
     "                     random_state=42)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "2 ** (-lda_model.log_perplexity(exp_test_corpus))"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "We show results for one model using a vocabulary of 3,800 tokens based on min_df=0.1% and max_df=25% with a single pass to avoid length training time for 20 topics. We can use pyldavis topic_info attribute to compute relevance values for lambda=0.6 that produces the following word list "
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "show_word_list(model=lda_model, corpus=exp_corpus)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "show_coherence(model=lda_model, corpus=exp_corpus, tokens=exp_tokens)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 325,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T20:34:17.817327Z",
      "start_time": "2018-11-26T20:34:10.622241Z"
     }
    },
    "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_el182411396354089982166332980175\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "\n",
        "var ldavis_el182411396354089982166332980175_data = {\"mdsDat\": {\"Freq\": [11.444795608520508, 11.16131591796875, 7.31112003326416, 6.464704990386963, 6.062066078186035, 5.312080383300781, 5.228941917419434, 4.436771869659424, 4.186151027679443, 3.7659354209899902, 3.710034132003784, 3.387451171875, 3.32228946685791, 3.0910863876342773, 3.032743453979492, 2.9245738983154297, 2.8355319499969482, 2.5601532459259033, 2.0881235599517822, 1.6472153663635254, 1.6249663829803467, 1.4119340181350708, 1.3604236841201782, 1.1208381652832031, 0.50875324010849], \"cluster\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], \"topics\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], \"x\": [172.00479125976562, 100.4894027709961, 51.939937591552734, -127.481201171875, 247.6103057861328, 61.5241813659668, 146.38177490234375, -28.145360946655273, -205.4078369140625, -157.80674743652344, -71.07752227783203, 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        "\n",
        "function LDAvis_load_lib(url, callback){\n",
        "  var s = document.createElement('script');\n",
        "  s.src = url;\n",
        "  s.async = true;\n",
        "  s.onreadystatechange = s.onload = callback;\n",
        "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
        "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "}\n",
        "\n",
        "if(typeof(LDAvis) !== \"undefined\"){\n",
        "   // already loaded: just create the visualization\n",
        "   !function(LDAvis){\n",
        "       new LDAvis(\"#\" + \"ldavis_el182411396354089982166332980175\", ldavis_el182411396354089982166332980175_data);\n",
        "   }(LDAvis);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/LDAvis\n",
        "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "        new LDAvis(\"#\" + \"ldavis_el182411396354089982166332980175\", ldavis_el182411396354089982166332980175_data);\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & LDAvis\n",
        "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
        "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "                 new LDAvis(\"#\" + \"ldavis_el182411396354089982166332980175\", ldavis_el182411396354089982166332980175_data);\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
      },
      "execution_count": 325,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "vis = prepare(doc_model, doc_corpus, doc_dictionary, mds='tsne')\n",
     "pyLDAvis.display(vis)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 294,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-11-26T19:54:43.438786Z",
      "start_time": "2018-11-26T19:54:37.980509Z"
     }
    },
    "outputs": [
     {
      "data": {
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        "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
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        "\n",
        "<div id=\"ldavis_el182411396357403813764120339410\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "\n",
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\"tax\", \"tax\", \"tax\", \"tax\", \"tax\", \"tax\", \"tax\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"taylor\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"team\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technical\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"technology\", \"teen\", \"teen\", \"teen\", \"teen\", \"teen\", \"teen\", \"teen\", \"teen\", \"teen\", \"teen\", \"teen\", \"television\", \"television\", \"television\", \"television\", \"television\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tell\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tender\", \"tenure\", \"tenure\", \"tenure\", \"tenure\", \"tenure\", \"tenure\", \"tenure\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"terminal\", \"termination\", \"termination\", \"termination\", \"termination\", \"termination\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"test\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"texas\", \"therapeutic\", \"therapy\", \"therapy\", \"thirdly\", \"thirdly\", \"thirdly\", \"thirdly\", \"thirdly\", \"thirdly\", \"thirdly\", \"thirdly\", \"thirdly\", \"thirdly\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thought\", \"thoughtful\", \"thoughtful\", \"thoughtful\", \"thoughtful\", \"thoughtful\", \"thoughtful\", \"thoughtful\", \"thoughtful\", \"thoughtful\", \"threat\", \"threat\", \"threat\", \"threat\", \"threat\", \"threat\", \"threat\", \"threat\", \"threat\", \"threat\", \"thursday\", \"thursday\", \"thursday\", \"thursday\", \"tick\", \"tick\", \"tick\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"tier\", \"till\", \"till\", \"till\", \"till\", \"till\", \"till\", \"till\", \"till\", \"till\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"timeline\", \"tissue\", \"tissue\", \"tommy\", \"tommy\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"ton\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tool\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tough\", \"tourist\", \"tourist\", \"town\", \"town\", \"town\", \"town\", \"town\", \"town\", \"town\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"track\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"trade\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"traffic\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"training\", \"transact\", \"transact\", \"transact\", \"transact\", \"transact\", \"transact\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transaction\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transform\", \"transit\", \"transit\", \"transit\", \"transit\", \"transit\", \"transit\", \"transit\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"travel\", \"treat\", \"treat\", \"treat\", \"treat\", \"treat\", \"treat\", \"treat\", \"treat\", \"treat\", \"treat\", \"treat\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"treatment\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trend\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"trial\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"truck\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"try\", \"tumor\", \"tv\", \"tv\", \"tv\", \"tv\", \"tv\", \"tv\", \"tv\", \"tv\", \"tv\", \"tv\", \"tv\", \"tweak\", \"tweak\", \"tweak\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"type\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"uncertainty\", \"underscore\", \"underscore\", \"underscore\", \"underscore\", \"underscore\", \"underscore\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understand\", \"understood\", \"understood\", \"understood\", \"understood\", \"understood\", \"understood\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"undertake\", \"underwriting\", \"underwriting\", \"underwriting\", \"underwriting\", \"underwriting\", \"undue\", \"unemployment\", \"unemployment\", \"unemployment\", \"unemployment\", \"unemployment\", \"unexpected\", \"unexpected\", \"unexpected\", \"unexpected\", \"unexpected\", \"unexpected\", \"unexpected\", \"unexpected\", \"unexpected\", \"unfavorable\", \"unfavorable\", \"unfavorable\", \"unfavorable\", \"unfavorable\", \"unfavorable\", \"unified\", \"unified\", \"unified\", \"unified\", \"unified\", \"unified\", \"unified\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"unit\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"united\", \"unity\", \"unity\", \"unity\", \"universal\", \"universal\", \"universal\", \"universal\", \"universal\", \"universal\", \"universal\", \"universal\", \"universal\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"unlock\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"update\", \"updated\", \"updated\", \"updated\", \"updated\", \"updated\", \"urban\", \"urban\", \"urban\", \"urban\", \"urban\", \"urban\", \"urban\", \"urgency\", \"urgency\", \"urgency\", \"urgency\", \"urgency\", \"urgency\", \"urgency\", \"urgency\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"use\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"user\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"utility\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"value\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vehicle\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"vendor\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"versus\", \"vessel\", \"vessel\", \"vessel\", \"vessel\", \"vessel\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"vice\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"video\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"view\", \"visible\", \"visible\", \"visible\", \"visible\", \"visible\", \"visible\", \"visible\", \"vmware\", \"vmware\", \"vmware\", \"voice\", \"voice\", \"voice\", \"voice\", \"voice\", \"voice\", \"voice\", \"voice\", \"voice\", \"voice\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"volume\", \"wafer\", \"wafer\", \"wafer\", \"wafer\", \"wafer\", \"warrant\", \"warrant\", \"warrant\", \"warrant\", \"warrant\", \"warrant\", \"warrant\", \"warrant\", \"warrant\", \"warrant\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"water\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wave\", \"wealth\", \"wealth\", \"wealth\", \"wealth\", \"wealth\", \"wealth\", \"wealth\", \"wealth\", \"wear\", \"wear\", \"wear\", \"wear\", \"wear\", \"wear\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"weather\", \"webcast\", \"webcast\", \"webcast\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"website\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"week\", \"weekend\", \"weekend\", \"weekend\", \"weekend\", \"weekend\", \"weekend\", \"weekend\", \"weekend\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"welcome\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"west\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wholesale\", \"wi\", \"wi\", \"wi\", \"wi\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"win\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wind\", \"wire\", \"wire\", \"wire\", \"wire\", \"wire\", \"wire\", \"wire\", \"wire\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"wireless\", \"witness\", \"witness\", \"witness\", \"witness\", \"witness\", \"witness\", \"witness\", \"witness\", \"witness\", \"woman\", \"woman\", \"woman\", \"woman\", \"woman\", \"woman\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"wonder\", \"workflow\", \"workflow\", \"workflow\", \"workflow\", \"workflow\", \"workflow\", \"workflow\", \"workflow\", \"workflow\", \"workload\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"world\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yeah\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yield\", \"yy\", \"yy\", \"yy\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [19, 3, 7, 14, 1, 17, 9, 6, 21, 18, 24, 5, 8, 13, 23, 25, 4, 10, 15, 20, 12, 11, 16, 22, 2]};\n",
        "\n",
        "function LDAvis_load_lib(url, callback){\n",
        "  var s = document.createElement('script');\n",
        "  s.src = url;\n",
        "  s.async = true;\n",
        "  s.onreadystatechange = s.onload = callback;\n",
        "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
        "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
        "}\n",
        "\n",
        "if(typeof(LDAvis) !== \"undefined\"){\n",
        "   // already loaded: just create the visualization\n",
        "   !function(LDAvis){\n",
        "       new LDAvis(\"#\" + \"ldavis_el182411396357403813764120339410\", ldavis_el182411396357403813764120339410_data);\n",
        "   }(LDAvis);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/LDAvis\n",
        "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "        new LDAvis(\"#\" + \"ldavis_el182411396357403813764120339410\", ldavis_el182411396357403813764120339410_data);\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & LDAvis\n",
        "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
        "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "                 new LDAvis(\"#\" + \"ldavis_el182411396357403813764120339410\", ldavis_el182411396357403813764120339410_data);\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
      },
      "execution_count": 294,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "vis = prepare(doc_model, doc_corpus, doc_dictionary, mds='tsne')\n",
     "pyLDAvis.display(vis)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## Load Experiments"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Load Document-Term Matrix"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 48,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:24:31.778192Z",
      "start_time": "2018-12-04T03:24:31.771514Z"
     }
    },
    "outputs": [],
    "source": [
     "max_df = .25    # [.1, .25, .5, 1.0]\n",
     "min_df = .005   # [.001, .005, .01]\n",
     "binary= False  # [True, False]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 49,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:24:37.065235Z",
      "start_time": "2018-12-04T03:24:32.034462Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "(5990000, 3787)"
       ]
      },
      "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "vocab_path = experiment_path / str(min_df) / str(max_df) / str(int(binary))\n",
     "exp_dtm = sparse.load_npz(vocab_path / f'dtm.npz')\n",
     "exp_tokens = pd.read_csv(vocab_path / f'tokens.csv', header=None, squeeze=True)\n",
     "exp_dtm.shape"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 50,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:26:27.333065Z",
      "start_time": "2018-12-04T03:24:38.560838Z"
     }
    },
    "outputs": [],
    "source": [
     "exp_id2word = exp_tokens.to_dict()\n",
     "exp_corpus = Sparse2Corpus(exp_dtm, documents_columns=False)\n",
     "exp_dictionary = Dictionary.from_corpus(exp_corpus, exp_id2word)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 51,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:26:32.476997Z",
      "start_time": "2018-12-04T03:26:27.334262Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "<599000x3787 sparse matrix of type '<class 'numpy.int64'>'\n",
        "\twith 20453281 stored elements in Compressed Sparse Row format>"
       ]
      },
      "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "exp_train_dtm, exp_test_dtm = train_test_split(exp_dtm, test_size=.1)\n",
     "exp_test_dtm"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Set Model Parameters"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 52,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:26:32.480332Z",
      "start_time": "2018-12-04T03:26:32.478357Z"
     }
    },
    "outputs": [],
    "source": [
     "num_topics = 20 # [3, 5, 7, 10, 15, 20, 25, 50]\n",
     "passes = 1    # [1]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 53,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:26:32.504783Z",
      "start_time": "2018-12-04T03:26:32.481885Z"
     }
    },
    "outputs": [],
    "source": [
     "exp_model_path = vocab_path / str(num_topics) / str(passes)\n",
     "exp_lda = LdaModel.load(str(exp_model_path / 'lda'))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "code",
    "execution_count": 54,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:28:26.782692Z",
      "start_time": "2018-12-04T03:26:32.506297Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1728x360 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "show_word_list(model=exp_lda, corpus=exp_corpus, save=True)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 55,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T03:32:14.572945Z",
      "start_time": "2018-12-04T03:28:26.786239Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1080x360 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "show_coherence(model=exp_lda, corpus=exp_corpus, tokens=exp_tokens)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 58,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T04:17:47.346818Z",
      "start_time": "2018-12-04T03:55:25.493690Z"
     }
    },
    "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_el206041401837963005602223763163\"></div>\n",
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        "\n",
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        "\n",
        "function LDAvis_load_lib(url, callback){\n",
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        "  s.onreadystatechange = s.onload = callback;\n",
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        "   !function(LDAvis){\n",
        "       new LDAvis(\"#\" + \"ldavis_el206041401837963005602223763163\", ldavis_el206041401837963005602223763163_data);\n",
        "   }(LDAvis);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/LDAvis\n",
        "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "        new LDAvis(\"#\" + \"ldavis_el206041401837963005602223763163\", ldavis_el206041401837963005602223763163_data);\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & LDAvis\n",
        "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
        "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "                 new LDAvis(\"#\" + \"ldavis_el206041401837963005602223763163\", ldavis_el206041401837963005602223763163_data);\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
      },
      "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "exp_vis = prepare(exp_lda, exp_corpus, exp_dictionary, mds='tsne')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 168,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T13:34:24.222559Z",
      "start_time": "2018-12-04T13:34:24.212826Z"
     }
    },
    "outputs": [],
    "source": [
     "pyLDAvis.save_html(exp_vis, 'yelp_ldavis.html')"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 71,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T12:52:13.118288Z",
      "start_time": "2018-12-04T12:52:13.107667Z"
     }
    },
    "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_el206041401837963005609134053236\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "\n",
        "var ldavis_el206041401837963005609134053236_data = {\"mdsDat\": {\"Freq\": [10.80241584777832, 8.926139831542969, 8.536698341369629, 7.858370304107666, 7.240029335021973, 6.508064270019531, 5.916611671447754, 5.259650230407715, 5.188796520233154, 4.95925235748291, 4.806663990020752, 4.666712760925293, 4.184847354888916, 3.8796768188476562, 3.591111660003662, 2.302513360977173, 2.257028102874756, 1.2750132083892822, 1.0449246168136597, 0.7954771518707275], \"cluster\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], \"topics\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], \"x\": [27.8204288482666, -59.07163619995117, 101.0862045288086, -5.641210556030273, -36.10763931274414, 13.72585391998291, 113.9046630859375, 181.84915161132812, -66.39058685302734, -151.67660522460938, -206.31324768066406, 91.39225006103516, 164.7594757080078, 16.4043025970459, -163.26004028320312, 89.00944519042969, -80.82952880859375, -108.34359741210938, 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        "\n",
        "function LDAvis_load_lib(url, callback){\n",
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        "   !function(LDAvis){\n",
        "       new LDAvis(\"#\" + \"ldavis_el206041401837963005609134053236\", ldavis_el206041401837963005609134053236_data);\n",
        "   }(LDAvis);\n",
        "}else if(typeof define === \"function\" && define.amd){\n",
        "   // require.js is available: use it to load d3/LDAvis\n",
        "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
        "   require([\"d3\"], function(d3){\n",
        "      window.d3 = d3;\n",
        "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "        new LDAvis(\"#\" + \"ldavis_el206041401837963005609134053236\", ldavis_el206041401837963005609134053236_data);\n",
        "      });\n",
        "    });\n",
        "}else{\n",
        "    // require.js not available: dynamically load d3 & LDAvis\n",
        "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
        "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
        "                 new LDAvis(\"#\" + \"ldavis_el206041401837963005609134053236\", ldavis_el206041401837963005609134053236_data);\n",
        "            })\n",
        "         });\n",
        "}\n",
        "</script>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
      },
      "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "pyLDAvis.display(exp_vis)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 170,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T13:49:26.316503Z",
      "start_time": "2018-12-04T13:49:26.089739Z"
     }
    },
    "outputs": [],
    "source": [
     "terms = exp_vis.topic_info\n",
     "terms = terms[terms.Category != 'Default']\n",
     "terms['relevance'] = terms.logprob * .6 + terms.loglift * .4"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 108,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T13:07:47.453247Z",
      "start_time": "2018-12-04T13:07:47.399613Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
        "    .dataframe tbody tr th:only-of-type {\n",
        "        vertical-align: middle;\n",
        "    }\n",
        "\n",
        "    .dataframe tbody tr th {\n",
        "        vertical-align: top;\n",
        "    }\n",
        "\n",
        "    .dataframe thead th {\n",
        "        text-align: right;\n",
        "    }\n",
        "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Term</th>\n",
        "      <th>relevance</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Category</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Topic1</th>\n",
        "      <td>say</td>\n",
        "      <td>-1.70</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Topic1</th>\n",
        "      <td>tell</td>\n",
        "      <td>-1.89</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Topic1</th>\n",
        "      <td>know</td>\n",
        "      <td>-1.90</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Topic1</th>\n",
        "      <td>bad</td>\n",
        "      <td>-1.91</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Topic1</th>\n",
        "      <td>go</td>\n",
        "      <td>-1.98</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "          Term  relevance\n",
        "Category                 \n",
        "Topic1     say      -1.70\n",
        "Topic1    tell      -1.89\n",
        "Topic1    know      -1.90\n",
        "Topic1     bad      -1.91\n",
        "Topic1      go      -1.98"
       ]
      },
      "execution_count": 108,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "top_by_relevance = (terms\n",
     "                    .groupby('Category')\n",
     "                    .apply(lambda x: x.nlargest(n=10, columns='relevance'))\n",
     "                    .reset_index('term', drop=True)\n",
     "                   .loc[:, ['Term', 'relevance']])\n",
     "top_by_relevance.head()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 156,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T13:26:21.024079Z",
      "start_time": "2018-12-04T13:26:21.007076Z"
     }
    },
    "outputs": [],
    "source": [
     "relevance, terms = pd.DataFrame(), pd.DataFrame()\n",
     "for topic, data in top_by_relevance.groupby(level='Category'):\n",
     "    t = topic[:5] + f' {int(topic[5:]):0>2}'\n",
     "    terms[t] = data.Term.tolist()\n",
     "    relevance[t] = data.relevance.tolist()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 159,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T13:27:57.711071Z",
      "start_time": "2018-12-04T13:27:55.810939Z"
     }
    },
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1728x360 with 1 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "fig, ax = plt.subplots(figsize=(num_topics*1.2, 5))\n",
     "sns.heatmap(relevance.sort_index(1),\n",
     "            annot=terms.sort_index(1),\n",
     "            fmt='',\n",
     "            ax=ax,\n",
     "            cmap='Blues',\n",
     "            cbar=False)\n",
     "fig.tight_layout()\n",
     "fig.savefig('yelp_review_wordlist', dpi=300)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## LDAMultiCore Timing"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 160,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T13:30:11.307418Z",
      "start_time": "2018-12-04T13:30:11.271490Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
        "    .dataframe tbody tr th:only-of-type {\n",
        "        vertical-align: middle;\n",
        "    }\n",
        "\n",
        "    .dataframe tbody tr th {\n",
        "        vertical-align: top;\n",
        "    }\n",
        "\n",
        "    .dataframe thead th {\n",
        "        text-align: right;\n",
        "    }\n",
        "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>workers</th>\n",
        "      <th>num_topics</th>\n",
        "      <th>duration</th>\n",
        "      <th>test_perplexity</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
        "      <td>10</td>\n",
        "      <td>2,035.21</td>\n",
        "      <td>72.62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
        "      <td>50</td>\n",
        "      <td>1,611.58</td>\n",
        "      <td>84.46</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>4</td>\n",
        "      <td>10</td>\n",
        "      <td>1,093.39</td>\n",
        "      <td>72.74</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>4</td>\n",
        "      <td>50</td>\n",
        "      <td>1,067.98</td>\n",
        "      <td>82.12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>8</td>\n",
        "      <td>10</td>\n",
        "      <td>1,154.87</td>\n",
        "      <td>72.79</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
        "   workers  num_topics  duration  test_perplexity\n",
        "0        1          10  2,035.21            72.62\n",
        "1        1          50  1,611.58            84.46\n",
        "2        4          10  1,093.39            72.74\n",
        "3        4          50  1,067.98            82.12\n",
        "4        8          10  1,154.87            72.79"
       ]
      },
      "execution_count": 160,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "df = pd.read_excel('timings/timings.xlsx')\n",
     "df.head()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 167,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2018-12-04T13:32:22.019179Z",
      "start_time": "2018-12-04T13:32:21.797185Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f7bf634ae48>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f7f14ad5080>]],\n",
        "      dtype=object)"
       ]
      },
      "execution_count": 167,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 1008x360 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
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