data_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tlebr\\Envs\\datasci\\lib\\site-packages\\gensim\\similarities\\__init__.py:15: UserWarning: The gensim.similarities.levenshtein submodule is disabled, because the optional Levenshtein package <https://pypi.org/project/python-Levenshtein/> is unavailable. Install Levenhstein (e.g. `pip install python-Levenshtein`) to suppress this warning.\n",
      "  warnings.warn(msg)\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import os\n",
    "import pandas as pd\n",
    "from nltk import FreqDist\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "import re\n",
    "import numpy as np\n",
    "from wordcloud import WordCloud\n",
    "import gensim\n",
    "from gensim.utils import simple_preprocess\n",
    "import gensim.corpora as corpora\n",
    "from pprint import pprint\n",
    "import pickle \n",
    "import pyLDAvis\n",
    "import warnings\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "from collections import Counter\n",
    "import pyLDAvis.gensim_models\n",
    "from sklearn.manifold import TSNE\n",
    "from bokeh.plotting import figure, output_file, show\n",
    "from bokeh.models import Label\n",
    "from bokeh.io import output_notebook\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# json is formatted as list of albums\n",
    "# albums are list of songs with lyrics and other metadata\n",
    "def json_extract(path):\n",
    "    data_list = []\n",
    "    for file in os.listdir(path): \n",
    "        if file[-5:] == '.json':\n",
    "            with open(path+file, 'r') as f: \n",
    "                data = json.load(f)\n",
    "                data_list.append(data)\n",
    "    return data_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = 'data/drake/'\n",
    "drake = json_extract(path)\n",
    "path = 'data/quentin_miller/'\n",
    "quentin = json_extract(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dicts2df(dicts):\n",
    "    final_df = pd.DataFrame(columns=[\"title\", \"year\", \"album\", \"writers\", \"artist\", \"lyrics\"])\n",
    "    for album in dicts: \n",
    "        df = pd.DataFrame(album)\n",
    "        final_df = final_df.append(df, ignore_index=True)\n",
    "    return final_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "drake_df = dicts2df(drake)\n",
    "quentin_df = dicts2df(quentin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def datacleaning(df_lyrics):\n",
    "    df_lyrics = df_lyrics.apply(lambda x : x.replace(\"\\n\", \" \").replace(\"\\'\", \"'\").lower())\n",
    "    df_lyrics = df_lyrics.map(lambda x: re.sub('[\\'’\\(\\),\\.!?]', '', x))\n",
    "    return df_lyrics\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "drake_df['lyrics'] = datacleaning(drake_df['lyrics'])\n",
    "quentin_df['lyrics'] = datacleaning(quentin_df['lyrics'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makecloud(lyrics, max_words=75):\n",
    "    wordcloud = WordCloud(background_color=\"white\", max_words=max_words, min_word_length=2) \n",
    "    wordcloud.generate(\" \".join(lyrics))\n",
    "    return wordcloud.to_image()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=400x200 at 0x1D4635F9160>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "makecloud(drake_df.lyrics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=400x200 at 0x1D4635C5790>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "makecloud(quentin_df.lyrics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove obvious identifiers and stem words\n",
    "stops = set(stopwords.words(\"english\") + [\"got\", \n",
    "                                          \"im\", \"like\", \"thats\", \n",
    "                                          \"dont\", \"get\", \"know\", \n",
    "                                          \"yeah\", \"shit\", \"cant\", \n",
    "                                          \"back\", \"aint\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "drake_tokens = drake_df.lyrics.apply(lambda x:  [w for w in word_tokenize(x) if not w in stops])\n",
    "quentin_tokens = quentin_df.lyrics.apply(lambda x:  [w for w in word_tokenize(x) if not w in stops])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drake Topic Modelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.009*\"love\" + 0.009*\"na\" + 0.008*\"time\" + 0.006*\"man\" + 0.006*\"need\" + '\n",
      "  '0.006*\"oh\" + 0.006*\"wan\" + 0.006*\"one\" + 0.005*\"want\" + 0.005*\"right\"'),\n",
      " (1,\n",
      "  '0.010*\"love\" + 0.007*\"cause\" + 0.007*\"one\" + 0.007*\"way\" + 0.007*\"niggas\" + '\n",
      "  '0.007*\"never\" + 0.007*\"say\" + 0.006*\"right\" + 0.006*\"girl\" + 0.006*\"tell\"'),\n",
      " (2,\n",
      "  '0.007*\"man\" + 0.007*\"niggas\" + 0.007*\"never\" + 0.007*\"cause\" + 0.006*\"say\" '\n",
      "  '+ 0.006*\"tell\" + 0.006*\"right\" + 0.005*\"ta\" + 0.005*\"nigga\" + 0.005*\"make\"'),\n",
      " (3,\n",
      "  '0.008*\"go\" + 0.008*\"girl\" + 0.007*\"need\" + 0.007*\"oh\" + 0.006*\"love\" + '\n",
      "  '0.006*\"one\" + 0.006*\"take\" + 0.006*\"man\" + 0.006*\"never\" + 0.006*\"cause\"')]\n"
     ]
    }
   ],
   "source": [
    "n_topics=4\n",
    "vocab_mapping = corpora.Dictionary(drake_tokens)\n",
    "corpus = [vocab_mapping.doc2bow(tok) for tok in drake_tokens]\n",
    "lda_model = gensim.models.LdaMulticore(corpus=corpus,\n",
    "                                       id2word=vocab_mapping,\n",
    "                                       num_topics=n_topics)\n",
    "pprint(lda_model.print_topics())\n",
    "doc_lda = lda_model[corpus]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tse_viz(lda_model, n_topics=n_topics):\n",
    "    topic_weights = []\n",
    "    for i, row_list in enumerate(lda_model[corpus]):\n",
    "        topic_weights.append([w for i, w in row_list])\n",
    "  \n",
    "    arr = pd.DataFrame(topic_weights).fillna(0).values\n",
    "\n",
    "    # Dominant topic\n",
    "    topic_num = np.argmax(arr, axis=1)\n",
    "\n",
    "    # PCA into 2 dimensions\n",
    "    tsne_model = TSNE(n_components=2, verbose=1, random_state=0, angle=.99, init='pca')\n",
    "    tsne_lda = tsne_model.fit_transform(arr)\n",
    "\n",
    "    output_notebook()\n",
    "    mycolors = np.array([color for name, color in mcolors.TABLEAU_COLORS.items()])\n",
    "    plot = figure(title=\"t-SNE Clustering of {} LDA Topics\".format(n_topics), \n",
    "                  plot_width=800, plot_height=700)\n",
    "    plot.scatter(x=tsne_lda[:,0], y=tsne_lda[:,1], color=mycolors[topic_num])\n",
    "    show(plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 91 nearest neighbors...\n",
      "[t-SNE] Indexed 278 samples in 0.001s...\n",
      "[t-SNE] Computed neighbors for 278 samples in 0.009s...\n",
      "[t-SNE] Computed conditional probabilities for sample 278 / 278\n",
      "[t-SNE] Mean sigma: 0.000745\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 52.020741\n",
      "[t-SNE] KL divergence after 1000 iterations: 0.056200\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1002\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1002\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error(url) {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
       "      const url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\": \"YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\": \"KKuas3gevv3PvrlkyCMzffFeaMq5we/a2QsP5AUoS3mJ0jmaCL7jirFJN3GoE/lM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\": \"MK/uFc3YT18pkvvXRl66tTHjP0/dxoSH2e/eiNMFIguKlun2+WVqaPTWmUy/zvh4\"};\n",
       "\n",
       "    for (let i = 0; i < js_urls.length; i++) {\n",
       "      const url = js_urls[i];\n",
       "      const element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\": \"YF85VygJKMVnHE+lLv2AM93Vbstr0yo2TbIu5v8se5Rq3UQAUmcuh4aaJwNlpKwa\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\": \"KKuas3gevv3PvrlkyCMzffFeaMq5we/a2QsP5AUoS3mJ0jmaCL7jirFJN3GoE/lM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\": \"MK/uFc3YT18pkvvXRl66tTHjP0/dxoSH2e/eiNMFIguKlun2+WVqaPTWmUy/zvh4\"};\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"94c01096-bfb7-4f54-b43e-42e6947263a3\" data-root-id=\"1003\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
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       "  var render_items = [{\"docid\":\"e1ed6a9d-b6bb-4dc1-920a-76ee3c6e72a8\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"94c01096-bfb7-4f54-b43e-42e6947263a3\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1003"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tse_viz(lda_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def top_words(lda_model, tokens):\n",
    "    data_flat = [w for w_list in tokens for w in w_list]\n",
    "    counter = Counter(data_flat)\n",
    "    topics = lda_model.show_topics(formatted=False)\n",
    "\n",
    "    out = []\n",
    "    for i, topic in topics:\n",
    "        for word, weight in topic:\n",
    "            out.append([word, i , weight, counter[word]])\n",
    "\n",
    "    df = pd.DataFrame(out, columns=['word', 'topic_id', 'importance', 'word_count'])        \n",
    "\n",
    "    # Plot Word Count and Weights of Topic Keywords\n",
    "    fig, axes = plt.subplots(2, 2, figsize=(16,10), sharey=True, dpi=160)\n",
    "    cols = [color for name, color in mcolors.TABLEAU_COLORS.items()]\n",
    "    for i, ax in enumerate(axes.flatten()):\n",
    "        ax.bar(x='word', height=\"word_count\", data=df.loc[df.topic_id==i, :], color=cols[i], width=0.5, alpha=0.3, label='Word Count')\n",
    "        ax_twin = ax.twinx()\n",
    "        ax_twin.bar(x='word', height=\"importance\", data=df.loc[df.topic_id==i, :], color=cols[i], width=0.2, label='Weights')\n",
    "        ax.set_ylabel('Word Count', color=cols[i])\n",
    "        ax_twin.set_ylim(0, 0.030); ax.set_ylim(0, 3500)\n",
    "        ax.set_title('Topic: ' + str(i), color=cols[i], fontsize=16)\n",
    "        ax.tick_params(axis='y', left=False)\n",
    "        ax.set_xticklabels(df.loc[df.topic_id==i, 'word'], rotation=30, horizontalalignment= 'right')\n",
    "        ax.legend(loc='upper left'); ax_twin.legend(loc='upper right')\n",
    "\n",
    "    fig.tight_layout(w_pad=2)    \n",
    "    fig.suptitle('Word Count and Importance of Topic Keywords', fontsize=22, y=1.05)    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2560x1600 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_words(lda_model, drake_tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.3.1/pyLDAvis/js/ldavis.v1.0.0.css\">\n",
       "\n",
       "\n",
       "<div id=\"ldavis_el2133620101729300805511421347\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "var ldavis_el2133620101729300805511421347_data = {\"mdsDat\": {\"x\": [-0.008594180268908024, -0.011626692581420375, 0.008725181935638577, 0.011495690914689834], \"y\": [0.006370990244460743, -0.006674588741758463, 0.009507288170422746, -0.009203689673125013], \"topics\": [1, 2, 3, 4], \"cluster\": [1, 1, 1, 1], \"Freq\": [32.598269733516524, 26.30973997089509, 23.005952478084925, 18.086037817503453]}, \"tinfo\": {\"Term\": [\"na\", \"oh\", \"new\", \"time\", \"brand\", \"love\", \"need\", \"f-faded\", \"go\", \"missing\", \"dedicate\", \"man\", \"wan\", \"take\", \"stop\", \"hey\", \"well\", \"wishin\", \"better\", \"faded\", \"come\", \"find\", \"ha\", \"one\", \"things\", \"houstatlantavegas\", \"fly\", \"every\", \"tellin\", \"times\", \"endlessly\", \"powers\", \"mark\", \"oh-woah\", \"speculate\", \"clinking\", \"emotion\", \"despite\", \"hennessy\", \"oh-yeah\", \"testing\", \"drinkings\", \"suiting\", \"reputations\", \"manhood\", \"suffer\", \"gotcomeback\", \"hmm\", \"drank\", \"jeopardize\", \"firm\", \"recover\", \"object\", \"slipping\", \"arent\", \"sha-nah-nah-nah-nah-nah\", \"whips\", \"negatives\", \"judge\", \"interviews\", \"corner\", \"okay\", \"saying\", \"best\", \"gone\", \"wouldve\", \"way\", \"love\", \"bitches\", \"think\", \"anymore\", \"claim\", \"youre\", \"money\", \"ayy\", \"one\", \"smoke\", \"cause\", \"lets\", \"made\", \"say\", \"''\", \"ever\", \"see\", \"would\", \"right\", \"tell\", \"niggas\", \"nigga\", \"girl\", \"want\", \"never\", \"still\", \"time\", \"fuckin\", \"always\", \"city\", \"good\", \"fuck\", \"go\", \"``\", \"make\", \"could\", \"wan\", \"need\", \"man\", \"na\", \"take\", \"pierre\", \"meaning\", \"copped\", \"specially\", \"depends\", \"ecs\", \"wrecked\", \"whack\", \"molly\", \"dedicate\", \"passionate\", \"dirt\", \"jump\", \"-girl\", \"outside-\", \"bend\", \"reunite\", \"autumn\", \"awful\", \"no-talent\", \"dolphins\", \"spotlight\", \"coupe\", \"sos\", \"coffins\", \"mutually\", \"offered\", \"blows\", \"walks\", \"mothafuckin\", \"controlla\", \"passive\", \"passin\", \"gangstas\", \"miles\", \"dying\", \"legend\", \"takin\", \"musta\", \"note\", \"give\", \"lie\", \"save\", \"low\", \"icy\", \"die\", \"nobody\", \"tryna\", \"man\", \"niggas\", \"us\", \"never\", \"ta\", \"look\", \"everything\", \"done\", \"tell\", \"say\", \"around\", \"cause\", \"money\", \"nigga\", \"fuckin\", \"make\", \"could\", \"even\", \"right\", \"thing\", \"ever\", \"feel\", \"good\", \"real\", \"time\", \"still\", \"girl\", \"go\", \"wan\", \"fuck\", \"way\", \"''\", \"na\", \"love\", \"need\", \"see\", \"``\", \"want\", \"one\", \"brand\", \"*\", \"childs\", \"kinks\", \"double-e\", \"dolph\", \"fortunately\", \"k\", \"elevated\", \"davis\", \"murdering\", \"avis\", \"conflicting\", \"conviction\", \"fairytale\", \"dating\", \"thanks\", \"telly\", \"outfit\", \"tellin\", \"erase\", \"basketball\", \"blade\", \"envelopes\", \"forgetting\", \"falling\", \"hol\", \"steps\", \"backbone\", \"teddy\", \"houstatlantavegas\", \"woah\", \"brea\\u2013\", \"new\", \"stop\", \"tat\", \"oh\", \"bounce\", \"take\", \"go\", \"already\", \"need\", \"wishin\", \"ha\", \"girl\", \"ball\", \"missing\", \"air\", \"little\", \"houstatlanta\", \"fall\", \"bands\", \"ayy\", \"stay\", \"bout\", \"one\", \"things\", \"man\", \"still\", \"nigga\", \"let\", \"make\", \"never\", \"``\", \"fuck\", \"''\", \"want\", \"wan\", \"cause\", \"love\", \"right\", \"ta\", \"see\", \"niggas\", \"say\", \"tell\", \"na\", \"time\", \"f-faded\", \"44\", \"deeply\", \"hurtin\", \"sonorous\", \"22\", \"karma\", \"charm\", \"gem\", \"loving\", \"hunnid\", \"faded\", \"halfway\", \"nothings\", \"fly\", \"chalmers\", \"dancer\", \"geeked\", \"beefs\", \"explaining\", \"gates\", \"itd\", \"outer\", \"pearly\", \"advise\", \"tron\", \"ring-a-ding\", \"consume\", \"bandana\", \"ding\", \"hey\", \"build\", \"sad\", \"missing\", \"knows\", \"times\", \"tear\", \"na\", \"ha\", \"fine\", \"well\", \"foot\", \"time\", \"ting\", \"better\", \"oh\", \"heart\", \"find\", \"love\", \"wan\", \"come\", \"need\", \"every\", \"show\", \"things\", \"want\", \"man\", \"one\", \"even\", \"youre\", \"let\", \"ta\", \"right\", \"baby\", \"make\", \"go\", \"never\", \"say\", \"niggas\", \"really\", \"cause\", \"girl\", \"tell\", \"``\", \"take\", \"look\", \"still\"], \"Freq\": [239.0, 208.0, 132.0, 263.0, 38.0, 355.0, 253.0, 18.0, 274.0, 35.0, 34.0, 286.0, 215.0, 199.0, 55.0, 32.0, 80.0, 46.0, 78.0, 21.0, 141.0, 74.0, 25.0, 273.0, 161.0, 36.0, 19.0, 128.0, 31.0, 36.0, 3.9338987513358115, 5.009099654263785, 2.120862052069187, 6.255925105093865, 3.467577853613777, 3.4175248289632463, 4.032116935080387, 3.97941674114434, 5.268734590003101, 1.9802131623269024, 1.9463455784543395, 1.9401732460512129, 1.919386607963244, 1.9111332871240665, 1.8944994615122943, 1.2617231822224309, 1.2595445147373407, 1.2583636487966687, 4.899994168183746, 2.481695164875251, 1.2205421868956092, 2.417484936725885, 3.043818869216193, 2.401569063300643, 2.4032526298849968, 2.4113852489244465, 3.5264709439632744, 1.158771587992782, 3.4380336293899894, 1.1441153719608121, 7.001651222785103, 62.78194497734936, 14.582952721797206, 49.676440399903974, 29.91489140396571, 9.394278294422564, 101.58988748809982, 149.6934493244374, 20.33648653745144, 68.19184613370247, 8.66891501738914, 6.9876560726284955, 76.30217736231046, 74.54651156958566, 85.48288142185731, 106.03387383326088, 18.624280545327945, 112.31993057800388, 21.501863307912483, 31.46390498650735, 100.53511469421026, 73.23004296848734, 55.675799077233826, 72.46069863789526, 43.36513820318232, 97.56505647128598, 90.27423860576145, 100.93545842354801, 80.4083488749173, 96.98523005984012, 80.23166289821326, 100.84984061360764, 74.46316831800459, 87.54964671546324, 40.199088868296776, 55.68809456723278, 50.03039172195073, 51.21246825696969, 59.828996011014674, 81.63362056066558, 60.48759509922523, 67.88625421123858, 56.622909442115656, 64.96386157607058, 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       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.3.1/pyLDAvis/js/ldavis.v3.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el2133620101729300805511421347\", ldavis_el2133620101729300805511421347_data);\n",
       "      });\n",
       "    });\n",
       "}else{\n",
       "    // require.js not available: dynamically load d3 & LDAvis\n",
       "    LDAvis_load_lib(\"https://d3js.org/d3.v5.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.3.1/pyLDAvis/js/ldavis.v3.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el2133620101729300805511421347\", ldavis_el2133620101729300805511421347_data);\n",
       "            })\n",
       "         });\n",
       "}\n",
       "</script>"
      ],
      "text/plain": [
       "PreparedData(topic_coordinates=              x         y  topics  cluster       Freq\n",
       "topic                                                \n",
       "1     -0.008594  0.006371       1        1  32.598270\n",
       "2     -0.011627 -0.006675       2        1  26.309740\n",
       "3      0.008725  0.009507       3        1  23.005952\n",
       "0      0.011496 -0.009204       4        1  18.086038, topic_info=       Term        Freq       Total Category  logprob  loglift\n",
       "193      na  239.000000  239.000000  Default  30.0000  30.0000\n",
       "267      oh  208.000000  208.000000  Default  29.0000  29.0000\n",
       "263     new  132.000000  132.000000  Default  28.0000  28.0000\n",
       "209    time  263.000000  263.000000  Default  27.0000  27.0000\n",
       "2189  brand   38.000000   38.000000  Default  26.0000  26.0000\n",
       "...     ...         ...         ...      ...      ...      ...\n",
       "145    tell   37.485356  252.116065   Topic4  -5.4265  -0.1959\n",
       "3        ``   32.099505  183.063341   Topic4  -5.5816  -0.0310\n",
       "143    take   33.093896  199.892524   Topic4  -5.5511  -0.0884\n",
       "332    look   30.542612  172.185072   Topic4  -5.6313  -0.0194\n",
       "204   still   32.367679  211.080556   Topic4  -5.5733  -0.1650\n",
       "\n",
       "[350 rows x 6 columns], token_table=      Topic      Freq     Term\n",
       "term                          \n",
       "0         1  0.386637       ''\n",
       "0         2  0.243635       ''\n",
       "0         3  0.243635       ''\n",
       "0         4  0.121817       ''\n",
       "3554      1  0.238431        *\n",
       "...     ...       ...      ...\n",
       "6582      2  0.556763  wrecked\n",
       "371       1  0.424411    youre\n",
       "371       2  0.178699    youre\n",
       "371       3  0.201037    youre\n",
       "371       4  0.195453    youre\n",
       "\n",
       "[688 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[2, 3, 4, 1])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pyLDAvis.enable_notebook()\n",
    "vis = pyLDAvis.gensim_models.prepare(lda_model, corpus, dictionary=lda_model.id2word)\n",
    "vis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quentin Miller Topic Modelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.010*\"ta\" + 0.008*\"niggas\" + 0.008*\"real\" + 0.006*\"make\" + 0.006*\"go\" + '\n",
      "  '0.006*\"man\" + 0.006*\"em\" + 0.006*\"really\" + 0.006*\"way\" + 0.005*\"nigga\"'),\n",
      " (1,\n",
      "  '0.009*\"came\" + 0.007*\"niggas\" + 0.007*\"make\" + 0.007*\"man\" + 0.006*\"ayy\" + '\n",
      "  '0.006*\"let\" + 0.006*\"want\" + 0.006*\"em\" + 0.005*\"time\" + 0.005*\"one\"'),\n",
      " (2,\n",
      "  '0.010*\"let\" + 0.010*\"way\" + 0.009*\"go\" + 0.008*\"want\" + 0.008*\"niggas\" + '\n",
      "  '0.006*\"ta\" + 0.006*\"fuck\" + 0.006*\"bitch\" + 0.006*\"yall\" + 0.005*\"man\"'),\n",
      " (3,\n",
      "  '0.013*\"wait\" + 0.007*\"real\" + 0.007*\"hold\" + 0.007*\"niggas\" + 0.006*\"ayy\" + '\n",
      "  '0.006*\"ta\" + 0.005*\"nigga\" + 0.005*\"way\" + 0.005*\"make\" + 0.005*\"keep\"')]\n"
     ]
    }
   ],
   "source": [
    "vocab_mapping = corpora.Dictionary(quentin_tokens)\n",
    "corpus = [vocab_mapping.doc2bow(tok) for tok in quentin_tokens]\n",
    "lda_model = gensim.models.LdaMulticore(corpus=corpus,\n",
    "                                       id2word=vocab_mapping,\n",
    "                                       num_topics=4)\n",
    "pprint(lda_model.print_topics())\n",
    "doc_lda = lda_model[corpus]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[t-SNE] Computing 91 nearest neighbors...\n",
      "[t-SNE] Indexed 138 samples in 0.000s...\n",
      "[t-SNE] Computed neighbors for 138 samples in 0.006s...\n",
      "[t-SNE] Computed conditional probabilities for sample 138 / 138\n",
      "[t-SNE] Mean sigma: 0.001165\n",
      "[t-SNE] KL divergence after 250 iterations with early exaggeration: 53.013573\n",
      "[t-SNE] KL divergence after 1000 iterations: 0.036297\n"
     ]
    },
    {
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       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
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Application\",\"version\":\"2.3.1\"}};\n",
       "  var render_items = [{\"docid\":\"7f0aed00-3e41-4346-95a6-4e8318c262e5\",\"root_ids\":[\"1102\"],\"roots\":{\"1102\":\"b08d9b8d-a040-4a44-89f0-b524c28114da\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1102"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tse_viz(lda_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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y0ao+RhPfVXJ1BQDnU6P+iywQq9G+1uWB/wNOyz/b26IkIPgDNBgIQhYsf3xEfKcTQYfDUf6jlO+TfTdetcHs44AjgHPz8/1g2rEv2ehgjZSzNXB+uwL48udqDnAazZ+flqf6D3+GXP498m9kQYelXgDekVIa1DVCRHSTvY7NPD8vIwvgH+g7w4lkI531GUs20nizDi+s35JSOr+QNp8suLFPkI0mV1P+XaZa0Fm9342K9RQDCSvVO43sc+SAOusotQ5wekQc1UTe0jaMIwskP6zJ/KuSHauNBOIvB/ywmc/evM4VyD7vD2wmvyRJkjRajet0AyRJkqQOmE8WOFZqBvD7AfIVA/JKR9u7jmzazr4RhXaKiDEppSVU90rKA68qBRaWOhXYp0L6o8AfyEZ8eZhs9JSXk40QUBzl6ACymyXN3IgA2JNsBJ8+T5F10F9MNj3pOLIbFm+k/02hPl8B3l0hfQHZa3A12dSPU4FtgP14cVS1fclGM2mnnSm/sX1fSumWNrej1HA4DjppG7JRLfquaZ8kOwb/yYvH4AZkz9E2hbxdwDFUv0G5gOz5g+zm1eaF7beTTdtay0DbW+F+4Eqy6S17yJ6DZ8iCTdYhe9x70n+UugC+ExFXpZQuHkTdP6f/qFnXkk3jdRvwONnobzuQvXeLo+R9PSLmpZRuraeiiHgfWbBp0ULgLLJpQB8kO0dMJxtBrS9o69XAoEa+GSZOIbsZ3+efwLlkU8wuIhsR9k1k56pS25J91h0dEe8kGzGrz73A2WSv3aNkwSY7kI2OsmLJfuOBkyJi65TSc020fVWy83pp4OWlZCOq3J2v97W/eGN+BeDsiHhVSum6eirLbzR/o8KmRWTH6AVk752VgY3Jzo0bF/bdArggIrapZ1SeCtYiC7roCyxZTPaa/Y3seV9ENhLfK3kxyOcGsvcOZM9H6eh/T5G9t2oZaHuf0XLeWJPsOKs0Iu2TZEEbl5BNW/o02eswDdg+b2Ot0T2LdW2Ul1UcPWoJ2Q87/gncSTbV4kpkn0F7UD7y4FuBxygPgGm5yEYxPpfs8RbdR/aevTFvz0vIjtW3UD6K25FkwUqfqlLV3bz4eQrZ95Di6LfXUF07Pktb5ViyALyi4mfVqrz4WVUcOW4XsqDlnVNKLzTRhg3IRpjs+866mOya569k557lefG7UXFE0tWB8/Jz/QNN1N2IH1P5OiCRnZ/+RnbsPEr2nplK9l12B7L3T0dFNlr7X8naVGoR8LaU0lmDLP87ZO+tovvJnpv/kD03z5E9N9uTfYZOKdl3EnBmRGyXUrq5Uj0ppTsi4lyyc36f90TElwe4fq3U5m3JvnOU+nGFOh+LiKsK++5OFshZy45UD8J+Ldl03rXatwHlgZA1g/fyoLcLqHzM3UZ2vXUr2Xt8LbJ+gj0L7QzgmIhYlFL6Ya36avgy/V+j+8m+Q11Ldq23St7Gsuu5yEZZP5vya6G+x/D7/O9CsvPRrmQj+/V9f/k22ejBjfp/ZCNBFt1A9mOOm8k+X54n+/4xhey8+PJ8MShckiRJo1On5+11cXFxcXFxcXFxafdCdvPxebKbRH3LNXXku61k/yXA6oXtZxXK3GaA8r5Q2D8Bs2rsf3iF/ZeQdayvUCXPimQjVhXzJeDddTzmrgr5Xij5fy4wtUb+5Qvr2xby9y3fA1as8XodX7LvM408by04Xror1HdGB4/fThwHxeegp0XP5YDlVDkGS4+BE4EpNfK/r8IxtwRYv8m6d+3Q6/4mspvZ/we8rM48KwKfA54tPIbbgDF1ljG3xnN/FzCzRt51yEajKj6HP6uz7vWAJyrk/22115ws2OyLJa/5kgqPv7sNr9f8Cu3uauL5Lm37jcCONfIeSHYzvzT/QrIbok/m688BRwHjq5QxjSwYvdj2d9X5uHtqHC93ADNq5J2R71Os+9J6jleyYJTia52APwPr1sh3eMnzU7qc0uRjLj3f/Isa71cKn5FVjoH5gzgOR+N5YyyV339Pk30GrTxA/hXIAqvmA+cPsO9ywBUV6vo1A7zfyQJurq+Q98BmX+8GjouvVah3EdkPM8ZWyTMF+E2FfEuA3eusd1Yx/1A/1gafl+4Kj29WHflenz8PZecQYHKVPOOAz1N+zk7Al+psbzFf6fvsqlrvebLA5YcrlHF6nXUX32Nz68z3vgp19p2nt6wj/3bA9/P3c8332CCPhbkV2rgr2fnpxgrbFgJ7tKDe/SuU/QDZlLTjauRbCfgSWcBmad5rqfJ5n+d7c4X6qp6fa5RzUqGMRRSuk0v2/WZh39vqKP/rhTyl77dngAkD5H9PIf+zVLlmKsnz6wrPTS81rpvIvkP9rcp7c3odj3NWhbx93ykWkQVKL1clbxS3kQWBVjpW31+jDRvQ//1d6bq76nuP7DvEU4X9HwT2rPNYWgv4INl30be26j3t4uLi4uLi4uLiMhKWjjfAxcXFxcXFxcXFpRMLWTBA8SbAajX2X6ew//UV9vlkYZ8jB2hDpc79rir7TqZycMERdT7eT1fI+wQwaYB8XRXy9S1faeJ5v6xCOV+oM++XarRl1hAeK5Vu3vy/Dh23nToOugt5eppsf8PlDHAMfqLOeo+qkLe7ybp37dBrvzJVgirqyLsb5QECb64z79wqz/3NwNp15F+FbMSf0rxPMkAATZ73tAr1/rjOdhdv1Db02rfg9Zpfod6uQTzf11AjSHWAY/2h/O/zwBvqKGMa5Tde/1Hn4+6p0v67qBFAV5J/3XzfYv7D68j7zwr5fkt9gX8zqHyD+rWDeMx/Y4DggDqPgfmDOA5H43mj+F0skY2oWjXwtUZZ6w+w/SuFepYAH2qg/JWAywtl3FrPMTuIY+KllAf4PA/sU2f+H1Z4fu+o5zhjGQzeIwvCq3TO+naddR5U4fV4AdikjrzVPuP+A6xSR/6XkY1+Vcz/+jryzi/kmVtHnvWofJ6d08RrNZUqP/pp0bFQ6Rx2GNnoy8X0x4EdWlDn6hVej/8CazRQxoGUB5K+s8b+Yyscv2c12O6VKb82+XWN/d9Q4Tlcf4A6Sq8fl5CNGFf3ZzXl13LnD7D/6yq08Ung1XU8H+OAP1bIf2EdeWdVeU8/B7yxiffIwkI5i6gj2JosML1SP0Xf0lUj75sq7L9zk++Jhr9Dubi4uLi4uLi4uIzkZQySJEnS6FScnjYon3Kw1IzC+oUV9immFfO8WFk2ZdkOheS7Uko9VbK8h/Lpyn6ZUvpBtTpKpZS+Sfm0wBOpPG1VPS6kwWl0IuKVZFOvlTo3pfSVevKnlP4POK+ROltk3QppQz2lWDXD7TjopN+mlI6pc9/v8uIUnX1e3+L2DKmU0sKU0uIm855P+fSxhw2iOc+RTQ33vzrqfoJsJLxSK1N+/usnItYmmya71PVko3EMKKX0U+Cn9ew7AjwLHJRSerSOfb9PNu14qan53y+llM4dqICU0t2UP3e7RMQKlfavQwLenlK6t4667wXenucp9ZFa+SJiO8qPqdvIghYGnP4vpXQBlaf+/NhAeat4FDg4pfRMk/lbYhSeN5Ynmza0X3HAASmlfzbQ1r523FWjrlUoPy6/k1I6voHynyIb5e/ZkuSNyaYOHipHQFl/8JyU0pl15v8I8O9C2gZkI3iNRvuQBTyXuiil9Ml6MqeUTqX8fTaWylPw1uNZYP9Ux5TfKaVrgQ9V2FTzfDsInwAmFNJ+kVKa3WhBKaWHU0pPt6ZZdTsR2LCQ9giwW0rpkhaUfwQvTqUO2Y9r9kopPVRvASml3wInFJI/XWP/xcCPCslvjIhKU45XczDl1ybFMktdRBYwXGr3ajvn59rSaXavIxsFtNRrB2jjboX1mlPmUvmz/8iU0qUD5CNlU16/HbinsGnniKg0fW095qSU/tRgnsMonwL+6JTSgNfSKaXngLdR/n2yHsXpiW9NKV3URDl0+juUJEmS1G4G70mSJGm0ml8hrWqwXYVtxeA/yEa6eKpkfeeIiCrlbUc2rcxAZfYpBqw8S+VAg1o+TvnNkko37erxmZRSMbhiIO+rkPbxBss4ssH9W2FyhbTetrciM9yOg05ZDNR9sze/OXlaIXnriBhN18S/LKzXDIIZqKyU0jUN7H8a2UhCpV4xQJ7DyEYvKfXJ/KZovT5LNsrPSHdySunGenZMKT0PzKuwaQHZ1Nr1+kNhfSzZtLTNOK2RwIZ839MLyVtGxGtqZKsU1PnJlNKieuslC3i4oZD2pogoBubU49sppYebyDfcjLTzxqHAmoW0k+oJVmjC+8hGCOzzONn0xA3Jg2VPKSS/pflmVRcRKwLvLCTfTzaNbl3yYNiPVtg00r5HtEqlc0+l56eWL1IeJDOryYDp76aU7qx355TSb8hGNSu1V0RU+uFK0yJiEvDeQvJDNB+k2AnLFdafBHZJKV012IIjYgLl76E59QS9V9A3LXafLSJioxr7/4T+1wVjyX4sVK/3F9ZvTinNr7ZzHnRZPOZqBd/NyNvU5zzgfPo/xlrBf1tQ/rlQNXgvItYH9iokXwX8rEYb+8kfY6WgyWbOk4/TwDm6RPH9dg9wbL2ZU0qPkY1G2qiJhfV6fngiSZIkCYP3JEmSNHpdTBYAVKpW8N4uhfWykffyoJJ/lSRNAbasszyoHFBIRGxA+UgPZ6WUGhr9LaV0D1D81f7G+U2KRtxUz8gDFbyhsH5JvQEpfVJK15FNedxOlW6etj14bxgeB510Xo1RKqspjhS0Itl02KPFrYX1NSKiq8myftLIziml3gr1bzJAtuL54l5gwFHjCvU+TDZ12UhX9w3j3NUV0k5tcASTSmVs1mA7+jQzAmKlPMVjotQehfX7gXMaqTAP8v1xIXkM5SP2DGQJcHKDeYarkXbemFksBqh3hNZGFUfHOy0fSa8Zfy6sV/qO2Aqvojyw4heNjm6UfwcsBmLuHBHF4KZlWj7S406F5MtTSlc3Uk5K6UngV4XkVSgfrboezZxvi58xYyk/pw7WrpSPAvajekYIHMYm0rpA2515cZTcPnObKSildB9wbSG56jklpfQg5QH776nnBy4RsS3lQdW1Rt3rUwyorhW8VwzM+0c+EnHpOWi7iCie26qVvZBsuvJqXkv5PbMfN/Gjtd9THpTbzPvq1JTSswPv9qKI2JDyz8tf5CPqNeKX9B8Zth7FYL0t89ETJUmSJA3A4D1JkiSNSvmNsv8Ukl+ejwzRT0S8BHhpSdLtNaZ9K04LUy0gsFJ6tZH3Ko02dEaVfQfyuzrLr2V+o5VGxFrAeoXkMxstJ9fsY2+lRm/gtMJwOw46qdK01QO5vUJa2ft9JImILSPi3RHx3Yg4IyLOi4h/R8TVxYXKQa/F92Q9ngGuaCJf8fmv+txHxFj6T5EGWaBqM++74XC+GIynKf+sGkilqT4vbqSAlNLjZFP2lWrm/fIkzU13fl6et9SrKu2Yf74UR8c7q8npYltxbrwlpXR/E3W3xTJ83giyAJhSl6WUbmui3pryEdG2KyQPZtrM4khp0yKi0qi/gzWU3yOWZ+CREZc121I+Glsnv5fdkFIqBrzWo1KbK55vB6HSdU9xZM/hrlKg4dcjoq4pkgdQDK7rGeTnSPGc8vIB9i9OtTuN8tHnKjm8sL6I+oLXiyPfrRUR06vsWxp8t5gXr5dLyxhH9WvuYvDfRfkoxdW05DyZ11H8AUlXRBRHARzI/EbrpvL798xGC8mD6M9vMFsxMHJl4NdD9JkmSZIkLVOKU9BIkiRJo8kFwPYl62PIRtAoTjk44Kh7NbbNAH5QmpAHpuxY2O/ulNIdVcrcpkLalTXaUEulm+fbAKc2UMbVTdRb6YZuowEpfQY9PVWDKo1Is2qb2wDD7zjopGaCMSrddB1xwXsRMZ5smrn3AtVudNZr1Sby3DXATc9qGgkEeynl04qPlPNFq93V4FTBkI0qU1QpeLWeckpHS2nm/XJNPs1mQ1JKiyPiWvp/VlYLDKqU3tS5MaV0b0Q8CLykJLnSubeWq5upeyiNkvPGxmQjHpcaTEBdLdtRHrT1/yLi402WV2nEutWBx5osr5risbyY8hH06lXte0S7R0fupFZ+L/sP2aidpT+0b/Tc09TnZErp4Yi4j/6jEbc6ELMYTPRoSunmFtcx1N4HHE35OfRbEfFCSum4QZRdnJJ8ah5A3axiQPvqtXZOKV0QETfQ/7EdTvk18VIRsTJwcCH59/moeAO5lOzHCaXf9XanMHV9REyl/yj2/y4ZrfE84KhC/n4j7uajBxaD+qpOmZsrvu/+1+go5yWuoHwK4m0oH221lqubqLf4/n2B8tEY63UV9QVy9rma7HNl65K0mcDtEXEKWaDyv5r8gYUkSZK0TDN4T5IkSaPZBUBxtIRdKL9RUez0rxW8dxnwHC/eiC2OAgNZp31x+phqo+5B+Q2XF2gueAngFspvDta8oVPBw03UW5wKqq8tzWj3zb5KN887EfQ13I6DTlrQRJ5KgSPjB9uQdoqIV5CNVLN5i4ps5jhu5rmH8ue/1nPfyvPFbWQBKmObzN9pzQTvVDrWW1FOM++XZl83yM71pcF7q0dEVBiBsdK566ZB1Hsj/YP32vEZOWRG0XljjQpp1zVZ70AqTbm+UYvrWK3F5UH5sXxXo1PmlrixjvKXdS0796SUno6Iu4GuAcqvZbDn29LjutL7aTCK5V3f4vLb4SGyUeDm039EdoDvRMTilNL3myy7eE5Zif7BT4NVz/nkBKC0/TMjYu0ao80fTDaqWqmT6mlMSum5iLgYeH1J8u6F+iF7vqNkvXQk3wvJPiP6PheKI+xBNjrmqoW0gYL3iu+7wX6fGKj8gbTiuvvulNKiJsqBBq+7U0opIj5MNmJf6Wf2ZOBj+fJkRPyTLIjzYuCSQXwWSZIkScsMp82VJEnSaHYRWQBTqUpT7hTTqgba5R3PpaORvCQiijd4GpkyF8pvOjzZ5PSR5CMgFUeyaXQam0ojmA1k1QppvU2UM5h8zbqvQtpLKqQNtVUL650+DjqpmRGcRrQ8AOc8WheAA839oK8dz/2qFdKaet/n75Hi9KsjSaue7069ZwZzvi6eo8ZQHvgOrf18AXi8sN6Oz8ghMcrOG8VR96D1I9f1GYrAuqIVhqDMVQvrrXyfwMj6HtEKq1ZI6+S5p5Xn21UHUVYlxffnUL03h1RK6UGygLJKgZLfi4gPNVn0UJ9T6jmfnAI8VbI+lvJR40q9v7B+U0qp1g/ciopBdLvmo9OXem1hfWnwXkppIfDvkm1b5iP11cq/gIFHslu1sN7p82QrrrsH8xgazptS+iewD5UfP8BEYE+gG/g78HhE/C0iDstHdJQkSZJGJYP3JEmSNGqllHop78DftrTTOCKmAFuUbL83pXTnAEVXmjq3VHEaXshGcahmYmH9qYp71a+Yv1j+QBqdwhHKR2ao1I56DfbxN6rSiAOtnk6sHsPtOFCbRMRywG8pvxm3mGyk0E8CryMbCWY1smnIxqSUonRpY5MHq5Xni8Hm1eC0+nWrdGxUOne1st52fEa23Cg8b1R6nSpNId0Kqw5RuUOtld8jKuUdbd8jhtu5p5V1tzqApvhYhuq9OeRSSvcDu1F59OsfRMThTRS76qAa1QL5dLS/KiS/N596tp+I2Jbya6EfNVjleYX1SWQj5ZUqDb57hvKp0EvLCMqD9Yqj8c3Pf8BUy7A6T6aUWnHd3fbv0CmlPwGbAd9l4ADE5YA9gJ8Bd0bEUZWOO0mSJGlZ55dgSZIkjXbzC+vjgB1K1nem/3Q99YwocFFhfWnwXt4RXZxK996U0u01yiuOGrVSHW2opZi/HaNSVbpJ1+zjGOzjb9RVFdK2b3MbYNk4DtScDwIbF9IuAzZJKb0ppXRMSunvKaWbU0qPpZSeKY7KGBFDMYrTUGnl+WKweTU4rX7dKh0blc5drax3pJ4bR9t5o9LrNFQj+FSa3m+vYuDjIJf5Q9DuVn6PqJR3pL5XmjXczj2trLvVwXXFxzKiR9fKp5LdDbijsCmAEyOi1oh1lRTPKZe1+Hyya53tOKGwPo1shLSi4qh7zwIn11lHn/9QPjLb0uC7iFiP/p9h/6ww9Wtx9L6lwXp5APuOA+xfybJwniy+fzvyHTql9FBK6UhgTWB/4HiyKbNrjRy/OnAMcO4I+w4iSZIkDZrBe5IkSRrtKk1XO6PK/1Bf8N4/6T8db2kZW1E+XU6tKXOh/MbGxIhoajScPHiw+Iv/dkxd9XiFtElNltVsvmZdRDZSUal1I2KTNrfj8cL6SDwOxrehjmXRQYX1u4HX1zEKaKmRNJ3h4xXSmnrf5++R0TYa1HAymPN1cYrcStN9Q2s/X6B8BKQROb0jo++8saBC2lC1/9EKae2YSnewHi+st/J9AiP3vdKsxyukdfLc08rz7eODKKuS4vtzJJ1bKkop3UsWwFc8pwbwo4iY1UBxxXNKR84nKaWrgUsLyf1GEoyIicDbC/v8PqVU6Rxcq64llF8D717lfygfqQ/gX/QPfCwdee81ZCPKlqoneO/xwvpIPE8+XlgfzGMY9HV3/uOAP6SUPpxS2pLs/f8m4JtkwXyV7AGcONi6JUmSpJHE4D1JkiSNdhfSP9AOBhm8l0/He21J0toR0TdyQLE8qD1lLsDDhfVxwEYDtaOKTYCxhbRHmiyrEcXHALBpk2VtNpiGNCq/GfWvCpve28520Nnj4PnCerNBeFOazDdq5TdJX1lI/l4+vVkjNmhRk9qhleeLjSk/1tU+zb5uUH6uf6Q4Mlyu0vEymM+JlxbrHURZHTFKzxsPVEjbcojqeqhC2rQhqquViu+VaRExocmyiu8TGIHvlUFq2bknIlak/Bhq9Pls5fm20jE+GMX35xYtLr8jUkp3kwXw3VXYNAb4aUQcWmdRxed77Yjo1HeX4wvrMyNi7ZL1gykfOfGkJusqBuTtGBHL5/8Xp8AtC97LR+L7Z0nSRhGxfpX896eUbqyjTcX3dSu/T0BnrrunlTyvjWr5dXdKqTelNC+l9Jk8mG8r4BTKR+Q7NCK2anX9kiRJ0nBl8J4kSZJGtZTS4/QPtAPYPiJWiIhJwNYl6Q/V2ekP5UF+Mwp/S80foKxK07ZuW2c76sn3nybLakSlOrZpsqxm8w1GpamgZg3iRkgzOnkcFAM+mh3JrNlgw9Fsbcqv3S9uopzXtKAt7XIz8HQhbSSdL/SirfORPhuS53lZIbnaOapl58Y8QGHNOusdzkbjeeN2yoMidhiiuq6gPMigOD3jcFR8r4yj//fcRnTq++Rw0srvZS+n/D3b6PPZ1OddREwF1hlk3QMpjuY2JSLa+mOcoZJSuossgO+ewqYxwM8jojhKXSWXF9ZXIjsmOuF0+o8EOA4onQb48P67c2NK6aIm6yqOhLcCL563S4Pveql+TBaD+vpG7CsG751fZ5uK7+t1IuIldeYtGi7X3ePIAuSaMeTfo1NK16WU3gV8prApgH2Hun5JkiRpuDB4T5IkSSoPnluO7Ib1zvT/ztzIjYnivn1BezsX0u9LKd02QFmVRn3bp4G2lHprneW3VErpfspvau3TZHHN5huM31A+isEawP+1sQ2dPA56C+sTI2L1RiqMiPHAqxvJMwy8UCGt3SOhVBqtsKGpyXIHDLYh7ZJSegG4spD85ianid5n8C3SIEyk/AZ6PXanPEj4sko75p8vxVGP9m4maJAOfUYWFM87zZxzRuN5I1H+w4lXlYx83Mq6HgGuKSTvGhGrtrquFhvK7xGLqBzMtiz7D/BcIW2fJstqxblniyaP930qpFU83w5CcXpUgENaXEfH5NOR7wbcV9g0FvhFRLxtgCIqTQnbkaCllNKzwM8Lye+JiDERsS3wisK2Hw2iruspH5Vx9zywszSgdH5KaXGVYooBgK+NiJWAVxXSKz3HlbTkPBkR44C3FJLvTCk92GhZTaj0/t2n0ULyHzLuNujW1O9YyoPwh2oEXUmSJGnYMXhPkiRJqnxDaQawSyFtwClza+w7IyKmA1PrqLuflFIP2Ygypd4SEWs00B4iYh1gZiH51nzKp3Y4t7C+Q0RUmk6oqojYgg6MBJRSegr4WoVNn4mI4tSETctvjH2sSht66NxxcEuFtEYf99spn2ZruFtYIa3dj6E4Ah00OP1wRLyaxl+vTiueL9YDXt9IAXmAafHGqdrvPQPvUubdFdKKx0SpvxfWK53nasqD/YrToS+h/tF6WqV43mnmnDNazxtnFdYD+PgQ1XV2YX1l4ENDVFerXA48WUg7tNGpcyNie8pHY7owpVQMZFum5VN2Fn+s8+pGp3nMA42KgWxPAP9uolmtON8upvycOljzKT/2Ds+n+F4mpJRuJwt0+l9h01jgVxGxf43s51N+7v9gRHTqe/OJ9B9ddH3gDcD7C/s9Szbd6WAUP2N3p44pc0tcSf8fGb2W7Bp+fGG/YpBfNf8g++wv9d4mfkCyL9kPvUq1+n1VUUrpDqD448BDI2K5Bos6BGh2avWG5QGaxXZPalf9kiRJUqcZvCdJkiRlgXbF6c9mUD7Fbd3Beymlh8imfuwzDZhVYdf5dRZ5QmF9BeAb9bYn9x2yUQVLHd9gGYPxk8J6kP3CvhHfaVFbmvEDyqchGgucHRHFUSgalgcanU3tQINOHQfXkN3MLXVQvRXmNx/bOUphqzxJ+ShYXW1uw/0V0l5Xb+b8Rl3To6J00M8pP+a+FRGNjEL2NWDF1jVJTTowDwSrS77vgYXk61JKtUahKp4bAb7d4I3qD1A+rdzZKaXiqLFD7bHCelcTZYzW88ZvKA+c+UBE7DoEdX0PeKqQ9vmIKE73PGyklJ4GTi4kr0P5VIVV5QEs36+wqZ3fJ4eTSuee7zVYxtGUB/n8PKX0TBPt+VhErF/vzhFxIOWjIv85pXRvE3VXlVJ6EjipkPwSGn+uhrWU0q1kwWPF0eTGAadGxD5V8j1B+XtoNbIgurbLAxH/Wkg+iuyHOKVOTyk1M6prqWJQ3XaU//CiavBeHvBV+mO4tYAjCrvdmf8IakD5j5n+VKFN76wnP0BErAB8q8KmTl53TwOOrDdzPpJsd+uaU7c1C+vFke8lSZKkZZbBe5IkSRr18psO/y0kv5r+0wI9DlzbYNHF0Tg+WGGfAUfey/2M8hErZkVEcQSEiiLiKMqnv3uC8mmRhkxK6TLKRxHZKyI+W0/+iPg/Ggg+aLV8Ks9DKJ9Cdg1g/gAjalQVmUOB64A3DrB7R46D/AZyMXj14HqCFvMgkJOBjepp43CS3xC8uZC8Z5vb8CDlIy5+LCLWGihvPlXxrygPSBr2Ukr/A/5QSN4K+GE9+SPiXZSPoqbOCODXEbH2gDtm+/wmz1PqB7XypZSuBC4uJG8K/Kye0XIiYifg2xU2HTdQ3iFwfWF91YgoTv9X0yg+bzxHecDEGOB3jT6HALWCoPKpc4vH5YpkAf1NBfBFxDoRcWwrfhBQww8oD4z+fETUO1LldymfjvIOykc9HC3OpHza7l0j4uv1ZI6IA4BPFJJfYIBzXg0rkB3vA45oFxFbUjn4sNm6B/IdykcFnRURX2m0oIiYGhHDMjg/pXQzWQBfcXrUccBpEbF3lazfpvw7/iERcUyDP1wAll5f7BsRjf7Ip08x0GwPykeCbUWQdzEwbxzZKH997k8p3dBgGcXrqXpH3etzXIW070fEdgNlzF+rX5ONVljqgpTS1Q22YzB+TnmA+ZfqCWbPvwecSvmMAQOKiCMjojhyYr15Z1L+g4ViH40kSZK0zDJ4T5IkScoUg+iWJ7t50OfilFJxCp2BFIOdijc8/pdSqjQdaZmU0mOU39wDOD4ivl5tyrOIWCEijqFyUMLHUkrFQLSh9kHKbxp/LSK+U+0mXESsFBHfB76YJz07lA2sJaV0E1nw26LCpolkN0svjojdI2Jcee7+ImJSRLyX7KbEKWQjkAxUfyePg58V1scC82pNG5xPFf03YL88qWOv3SAUR/vaMyKOjojJbWzD7wrrU4C/R8Tm1TLkU0yfB7w1T3piiNo2lD5B+Y3s90fEryOi4hSgETE+D/T9KVkAWKL8/ar26XvPbwBcFBE7V9sx33YR5TduLwN+XEddH6T8tT4EOKtW4GBEvIdslJ0VCptOTinNr6PeVruM8tGAfxYROzQ4bd9oPW98j/JAjSnAPyLi/+VTlFYVERMiYr+I+Acwd4C6jiabirbUNOBfEfGFiBhwur+IWD4i9omIU8mC4D7OEI4YmgcWFYN5xpN9hzkqsumjK7VztYj4JfCRYpHA+5r4jrxMyIP8D6f8PTs7In6aj15VJiLGRsRsskDZ4nP+1ZRScerIevSdb7cj+1HJltV2jIh9yd7rxe8yv0sp1ZqivGl5UH6lqaU/HxHn5N8Za4qIbSLie0AP5aMVDhsppRvJpn8tjhrW914r+7FOSulhslHai8fSUcD5tT4/S0XEJhHxeeBGsh9BbNtY65eaB9QaefaGlFIxaL5hKaU7yV7PauoJvBton1rT7pZJKZ1HFoBXaiLwt4ioOgJfRKxH9n1in8KmZ6j8I74hk88C8IVC8vJkAebvq5YvIrqAc3kxgLLRa7ddgfMi4qqI+EStIPiSOiMiDqL8OV8C/LbB+iVJkqQRa8AbSpIkSdIoMZ/yG5Kl6p4yt0Rx5L2iekfdAyCl9OP8Zs8+JcljgNnAeyLiD2TTmz5KdqN6a7Ib8JWCXH6XUprbSP2tkFK6MiK+CRRH2zsSODQifg9cTfYYVge2IQv8Wq1k3y8CdY1oMhRSSn+LiDeR3RArjmyyI/B3oDciziMLzHsYeCTfPhnYGNiebHTHRqZ07Ku/U8fBb4FP0380pjWBSyPiT2SP+36yG0Prko06sitZkB9ko0CdRe1pgYejkykfwa0bODoi7iUbibEYkPrelNIVLWzDMcCH6R8APB34b0ScQ3b++h8wgey5fx2wMy8+9wAfo40jbbZCSumeiPgk5VPtvR3YOyLOJAt0eojsvTWd7FgvDdT6EdloiXVPI6iW+hHwNrJzxYbABRHxL7KggLvzfaYBM4HXUD7i3tNk76cBA4NSStflwTDF6dXfBNyen6cuIjtPrUx2Lt4f2KRCcXcAHx3w0Q2B/Lj/B1ngR5/pwD+BhRFxH+U3069IKRXPU6P1vLEkIg4mG+l3vZJNKwJfAj4VEX8nC8x+iOwYm0R2HG5L9hz0fbbX/J6WUloUEfuRnYfWKdT1ZbIArgvJXrsHyD4vViI7X3WRBVltQ/un9+4me723L0mbQHbMHJl/F7uRbNTpNYBXkn3nqDSa2zEppUZHtVqmpJT+mgeUfayw6d3AWyPij2RBng8BqwKbk/0QZB3KXQo0PBJd7ltkQe8rko0efnV+LvkrcB/Z97Mustdy6wr5H6L2tdCgpZROjogdgWLw0Eyy0bivIPs+eRewgOyxTCVr7w6MoFGcU0rXR8TuZIFlq5dsWg74Q0S8pRgomVL6Q0R8kfLpSncGLoyIm4DzgRvInp/FZMfU6mTP0XZkwfKtaP/iiPgR2bmskuJ3s8H4B9n7pZIBA+/yz/8Hqf5DqGbOUR8mO+a6StJWBU6OiM8BZwC3AQvJpurdhWzEv+UrlPWpPKCz3b5H9j1np5K0lYEfRcSngN/T/zHsCuzFi9enS8he/682UffL8+XbEXEz8B+yUeYfJvtsGUN2bTqd7Ht6pff2d+qd7liSJElaFhi8J0mSJGUuJBvpoNqoNg0H76WUeiLiHvrfPC7VUPBe7u1kUwruU0ifCtQ1dSpwOvCOJupulc+T3SCYVUifQjZ6SS1nAd+kg8F7ACmlv0fEtmSvRaURLSaRBR3uV2FbLQ9QfsOukrYfByml5yPiMLLgl9IRqoLspmutKfceJruhdXC99Q0XKaWLI+J0yqcbDrL3dqX3d3GUzcG24eH8uT+N/ueoscBb8qWWY1JKcyNiRAXhAKSUfpSPmnZ0YdPKZMdvrWP4crJg0bZOdax+HiO7cXweWXBQkN0M36GOvM8Ae6eUrqu3spTScfkIpMXPiAnUf06+AXhDSqmTo859GriE8iCAlYHNKuz/eDFhlJ83HoyI1wDnkAUPlJoI7JsvrajrvnwE2j9QPp3sSmSBEHu1oq5WyT/P30D2/BTfi+uR/aCiHt8lO1aVjY42jizgp9QqwKH5MpALgTenlF5osg13AO8ke8+PIXuvvy5fBvIosEdK6YEm627E+8nOWZ8qpI8hCxStOqLzSJNS+m9E7EEWPFb6Q6TlgTMj4s0ppb8V8nwxIh4ie3+NLxT50nxpl58A/1ehHc8Cv2hhPecxiOC93PnAQRXSb8inkm9ISunxiJhBFvxa/NzdjOxHUwMWQxa498NG62+FPJj9zWTH38sLmzdh4MfwaeDKFjRlMyp/d6nlHLI+A0mSJGnUcNpcSZIkCUgpPQJcX2XzUzTfcV1r9L35jRaWUnqWbGSpr9L4NDbPkI1ad1BK6blG626VlFIC3kM2bVtxxLJafgkcMFymZksp3Up2o/5D1J5Wqh4Pkr02m9QzEl6njoOU0pVk0yg1Mt3ydcBr6p0iepg6jIGnTxxSKaXfkQW8NvJ6Pw/MTil9ckga1SYppW6ywIhnGsj2N+D1KaVG8mgIpJQuAV5PNqpTvXqAPZsZ0SulNIcswLnRIJRENsLozimlexutt5VSSv8B9iYbJXAw5Yzm88Z9ZKNV/ZDsMTWjrmM2nw50BvA1yqf6bsRzZCMh3TGIMuqSUnqMLKjrJBr7LgZZUO6HU0pH5t/pRr2U0pKU0hFkgY+NfEcCeAE4nixouNG8xXb8HjiQbCStel0L7JZS+u9g6q5Xynya7Acddw+0fxVP0vj3345IKV0D7EH2vik1AfhjRLy2Qp4TyEZyu3SQ1d9G9mOfpuTBnGdU2HRafg5plWqf9bellOo9RqoF+TU9Mmhe906UT0Nfj/uAt6WUjmm2/lYoOdef00C254Ejm2x7w4GSBc+R/QBj35TSokGWJUmSJI0oBu9JkiRJL6o2Et6/BjEKRrUR+x5IKd3cTIEppcUppS+Q/YL9BLJp72q5j+zm9aYppe7hEPyW3+ScTRb8djZZR301l5KNRHJoJ4MOK8lfixPIpoN8K9loJwvqzH4fWaDIm4F189em7putnToOUkoX5XWeSO0ghXvJRlXZNqV0ezN1DRcppadSSoeRjXbyZeAvZMFFlabMHcp2nEI2xeKvqR2M8jTZiChbp5S+0Y62DbWU0neAl5E99qdr7Ho9WbDSoIMg1Dr5eWM6cCwVRokrcS9ZUPKWKaVmpqvvq+9Usmlxv0AWQFzLE2Q35l+TUjoopVTvOXxI5aMxbUgWiDiXbMq5h2gsiHW0nzcW5gFVm5F9/t1VR7YHyJ7v3VNKb2ugrkUppc+TTbF4NNnrVc/n7AKy4+99wNoppbfmwYBDLqX0dErpA2TTbf6CbPS1Wm4D5gAbp5SOH+r2jUQppe+SnXu+BQz03ecR4GRgq5TSh/MfZrSiDb8DtgB+Su3Py1vIvqdt167AvVIppd8Am5JNUX4JA3+fWkQ2pe4Hyd4r7RglsCVSSleRBVA9Xti0AnB2PsJbMc+lKaXX5Pl+x8DvT8jOOVeR/UBq55TSJimlnw6m7WTnsqJWTpnbFyR4Q4VNjQTetTx4D7If+KWUDgB2JBthdaAA7f8CnyO73mom6K/l8sewN9nIhJfV2PV5sgDybfNzWTN1vZ/su8vHgD9S/w837gG+DUxPKX1uEH0vkiRJ0ogV/kBSkiRJGvkiYmuyG2BrAKuS3Rx6CLg5pXRt51pWn4iYTHZTZF2y6XOfIQuOurzTIyA1IyI2IXs9ppFN0bcc2c2ex8hu1l49FDfn230cRMR4stdtI2B1sqkZHwSuJnuMXnAOkYhYiey535BsKrbFZDd2bwL+vSyPVpE/9p3Ipndcgyz4917gipTSbZ1s22gXET3A+iVJX8xHTizdZxywPbAl2XnjBbIR5m4lO+e3/LwREdPIAtjWyOt8huzceDdwWUqp2ZHZRpTRfN7oExGbkQWSTiX7vrGY7PP5HrLgkTtbdQzm322258XjbmWy0ZyfIDv2bhxO33EiYgywHdnxMZXs+8sCsvfKf1M24rAaEBGbkp3r1iB7zz1J9nzeAVw5mB/URETxOD0sFUZvzqcRfzWwOTCZLADuPrJj75pm6x4KEbEq2Y96XkJ2/E0ge74eITtH3TiaR9ONiAC2IgsOXZ3s/JXIziePkgVj3pxSqhWw2Uy915OdM/tcl1LaqpV1jCT5tc+refE76Apkx+iDwFUppcGOxj7kImIDYFtgbbLz/BNkx8+/UkpPDEF965FN09tFdn26Itm56Amy89G1DYywKEmSJC2zDN6TJEmSJEnSoNUTvCdJGrx6gvekwYiInSkfRf6jKaXvd6I9kiRJkrQsc9pcSZIkSZIkSZIk9flgYb1venVJkiRJUosZvCdJkiRJkiRJkiQiYkPggELyL1NKj3egOZIkSZK0zDN4T5IkSZIkSZIkSQDHAeNK1hPwvc40RZIkSZKWfQbvSZIkSZIkSZIkjWIRsXZEnAzsXdh0Wkrp+k60SZIkSZJGg3ED7yJJkiRJkiRJkqRlRUT8BNguX10DWKvCbs8An29boyRJkiRpFDJ4T5IkSZIkSZIkaXTZGNh6gH0+lVK6vR2NkSRJkqTRymlzJUmSJEmSJEmS1Gcx8IWU0g873RBJkiRJWtY58p4kSZIkSZIkSdLo9hRwNzAfOCGl9N/ONkeSJEmSRodIKXW6DZIkSZIkSZIkSZIkSZIkjSpOmytJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpsZvCdJkiRJkiRJkiRJkiRJUpuN63QDJEmSNPJ0zZ43F3hXvnpyz5yZszrXGkmSJEmSJGmE6p40l5J+Nrp7Z3WuMZIkSWo3g/ckSZKa1DV7Xhdw5xAUfUHPnJm7DkG5akDX7Hk7AYcCOwHrAGOB+4ArgF8Bf+mZMzN1roWSJEmSJEnLiO5JXQxRPxvdvbsOQbmqR/a6bgtsl//dFlitZI/D6O6d2/6GSZIkDR8G70mSJEklumbPmwT8EDikwubN8uUQ4Nyu2fMO65kz8/52tk+SJEmSJEka1ronzQROBqZ0uimSJEnDncF7kiRJzXsGOLeO/WYAE/L//wf8d4D9rx1Mo9S8rtnzJgB/AnYoSX4auAF4AdgcmJSnvwGY3zV73mt65sxc0NaGSpIkSZIkLVvsZ1u2TMXAPUmSpLpESs70JUmSNJS6Zs/rAdbPV0/umTNzVudao1q6Zs/7EfC+kqTvAt09c2Y+nm9fATgS+AowJt/nrz1zZr6hjc2UJEmSJEkanbon9VDSz0Z376zONUZVdU+aBfw8X7sbuBK4Argf+FnJnk6bK0mSRj1H3pMkSZKArtnztgTeU5J0XM+cmR8v3adnzsxngK93zZ73LHBsnvz6rtnz9uyZM/MvbWqqJEmSJEmSNJz9C9gTuJLu3keWpnZP6upUgyRJkoYrg/ckSZKkzGxeHE3vAeBzNfY9DngXsHW+/nnA4D1JkiRJkiSpu/dm4OZON0OSJGkkMHhPkiRpmOmaPW9T4FDg9WTTgKwGPA7cC/wD+FXPnJlX1VHOLF6cnuKunjkzu/L0zYHDgdcB6wJjgXvIgs9O6pkzc8COta7Z8+aSBa9BA1MBd82etx2wP7AbsB6wOvAC8BBwPXAB8PueOTPvqKe8VumaPW85YO+SpJ/no+xV1DNnZuqaPe8E4MQ8aYeu2fPW7Jkz84GhbKckSZIkSZIa0D1pwH42unsH7GcrTAN7F929XXl6zX62PIhtoLLnUtLPVvdUwN2T6upno7u3rf1skiRJaozBe5IkScNE1+x544FvAR+m/Hva1HzZBjiqa/a8XwIf6pkzc2GDdXwc+GaF8jfPlw91zZ73uZ45M48tyzwIXbPnrQscT/8AuT7LAV35MhP4RtfseW/tmTPzD61swwB2AVYpWZ9XR57SfcYAbwJ+0spGSZIkSZIkqQndk+ruZ6N70i+BD9Hd21A/G92TBuxno3vS5+jubWk/G92TGupno3vSW+nubWc/myRJkhpg8J4kSdIw0DV73vLAmcCehU03A/eT/XJ2CyDy5VBgs67Z897QM2fm43XW8UGgr7PwOeC/wEJgI7JfBgMsDxzTNXve8j1zZn692cdTqHcbskC3tQqbbgP+R/Z41s7bQb6+ChV0zZ63K3B+SdJhPXNmzm1BM7cp+f954IqBMvTMmXlv1+x5dwPT8qSta+0vSZIkSZKkNuie1FQ/G92T3kB37+N11lF3Pxvdk5anu7cl/Wx0T2pZPxvdk3al0M9Gd+/clrRTkiRJdTN4T5IkaXj4Kv07FP8GHNEzZ+YtfQn56HXHAG/Lk14JnAC8vY7yp/Bih+L3gaN75sx8rKTs3YEfARv2tadr9rz5PXNm/quJx7JU1+x5U4GzebFDcQnwQ+BbPXNm3lPYdwqwD/CBwdTZpOkl/9/dM2fmojrz3caLwXvTa+0oSZIkSZKktqjYz0Z379J+tnz0upb1s9Hdu7Sfje5JZf1sdE+aT3fvoPrZ6J5UtZ+N7t57Cvt2sp9NkiRJDTB4T5IkqcO6Zs+bDny8JOlsYN+eOTMXl+7XM2fmvcCBXbPnLQTenScf1DV73k965sw8b4BqVs7/fq1nzszPFzf2zJl5XtfseTOAy8h+nRvAD4BtG35A/X0PWCf/fzFwUM+cmb+rtGPPnJmPAj8Ffto1e97KlfYZQl0l/9/dQL7Sfbuq7SRJkiRJkqQ26J5UsZ+N7t7F/ffrvRc4kO5J/frZ6J70E7p76+5no7u3rJ+N7t7z6J7Uln42unsr9rPR3bu0n43uSe3uZ5MkSVIDxnS6AZIkSeIIXvxe9gTw3mLgXsFHgXsL6/W4BTi62sY8OPBTJUmv6Jo975V1ll2ma/a8jYADSpK+VS1wr0JbFjZbb5Mmlvz/eAP5equUIUmSJEmSpPYr62crC9zrb0j62fLgwH79bHRParqfje5JZf1sVQP3ytvS7n42SZIkNcCR9yRJkjpvn5L/f9kzZ+ZDtXbumTPzqa7Z804Cvpwn7dk1e96Enjkznx2gnhN75sx8YYB9TgOOA6bm6/sBlw+Qp5oDgbH5/08D32iynKV65sycT/Zr5VYr/QXyQM9jqWeqlCFJkiRJkqT226fk/1/S3Vuzn43u3qfontSvn43uSRPo7h2wn43u3hHdz0Z373yGpp9NkiRJDXDkPUmSpA7qmj1vfWCtkqRz6sx6Vsn/ywGvqCPPXwbaIQ/u+3tJ0vZ1tqeSXUr+P69nzszHB1HWUCv9UctAHa+lSvcd36K2SJIkSZIkqVHdk4ZVP1se3Dck/Wx09z4+iLIkSZI0jBi8J0mS1FkbF9avrTPfDfQPHCuWU/Q82XQe9biu5P9N6sxTyeYl/18xiHLa4emS/yc0kK9036da1BZJkiRJkiQ1zn42SZIkjTgG70mSJHXW5ML6w/VkykfIe7xGOUWP98yZubjONj3aQLm1rFbyf+0pSjpvYcn/KzSQb8UqZUiSJEmSJKm9mupny0fIe7xGOUWP091rP5skSZJawuA9SZKkzlq+5P9E9svdei2qUk4lzw1RubWU5n12EOW0wyMl/69Vda9ypfs+UnUvSZIkSZIkDTX72SRJkjTiGLwnSZLUWY+X/B/Ayg3kXaVKOZVMbKDc0n17G8hX9FjJ/5MGUU473FTy//oN5JtWpQxJkiRJkiS11+Ml/9vPJkmSpBHB4D1JkqTOKk5zsWE9mbpmz5tK/86/gaYBWaVr9rx6p+bYoOT/wUzDcX/J/5sNopx2uL7k/9W7Zs9bd6AMXbPnLQdsUZJ0Y8tbJUmSJEmSpHo11c9G96SG+9nonmQ/myRJklrC4D1JkqTO+i/9p/B4TZ35diisX1lHnlfVWfYrS/7/T515Krm05P8ZgyinHS4orO9SR55XAhNK1ue3rDWSJEmSJElqlP1skiRJGnEM3pMkSeqgnjkznwUuL0l6R51ZDy35/66eOTPvriPPQQPt0DV73vr077C8sM72VPLXkv+nd82et/MgyhpSPXNm9gDXlCQdWmXXUqX7PAJc3Mo2SZIkSZIkqQHdvS3pZ6O7tyX9bHRPGrJ+NronDdt+NkmSJDXG4D1JkqTO+3HJ/zt2zZ63b62du2bP2xHYryTpR3XWc0jX7HlbDrDPV4HI/38aOK3Osiv5I9BTsn5C1+x5KwyivKH2s5L/X981e96rq+3YNXvehvTvAD6lZ87MxUPWMkmSJEmSJNWjXz8b3ZNq9rPRPanpfja6J3W0n43uScO5n02SJEl1MnhPkiSp804FbilZP7lr9rydKu3YNXvey4A/8GLH30PASXXWMw74Y9fseV1Vyv4scEhJ0g975szsrbPsMnkw2+ySpC2Av3bNnrd2tTxds+dF1+x5M2s8/l27Zs9LJcusZttXwUnAXfn/Y4BfVXquumbPm0L2mq2YJz0BfL2F7ZAkSZIkSVJzyvrZ6J5UsZ+J7kmD7meje1JXlbLL+tno7m26n43u3or9bHRPqtrPRvekoHvSzBqPf1e6J6WSZVbT7ZMkSVLTxnW6AZIkSaNdz5yZi7pmzzsUuAhYDpgIXNA1e95vgLOAB4ApwJ7ArHwfgAS8t2fOzEfrqOZessC0HYFru2bPOwm4AFgIbAS8CyidbuM2oHtQDwzomTPzt12z5+0CfChP2gm4NX9s/wD+R9ZBug6wPbAPMA04jDZPQ5u/Du8B/kL2PXlD4Mqu2fNOAC4BXgBeARyRt7fPET1zZj7SzrZKkiRJkiSpgu7eRXRPKutno3tSXf1sdPc23M9G96S29LPR3ftbuieV9bPlj21Y9bNl7Z10M7B+ITUK6z+me9KJ5Xl7JwxVsyRJkoYbg/ckSZKGgZ45My/vmj1vJnAGsDLZyG+H0P8XuqWeB97ZM2fm2XVWsRh4O1nH5frAJ/OlknuA1/XMmfl0nWUP5Aiy0en6fh28IvCefBlWeubMPK9r9rx3Az8h67xdDfh8ld2XAJ/rmTPzF+1qnyRJkiRJkgbQ3Xs53ZMa7meju3fI+tno7h11/WzA8vlSyzi8Xy1JkkY5p82VJEkaJnrmzPw72ZQXvwAWVdltMdmvhLfumTPz1AbLvwfYFvgt2ShyRS8ApwDb9MyZ2dNI2QPUm3rmzPws8Brgb2SPoZrHgB8D57eq/kblwXjbkf1iOVXZ7d/Abj1zZn6jbQ2TJEmSJElSfbp7G+pno7u3oX42unvr7meju7enobJr15vo7h0x/WySJEkaWKRU7X6kJEmSOqVr9ryVgBlkv96dTPaL2nuBC3rmzHyszjJmAT/PV+/qmTOzq2TbGnn56wJjyX4FfF47pn/tmj1vMrAL2RQek8k6UB8AbgCu7pkzc8lQt6FeXbPnrUfWGboO2fP0P+DfPXNm3trRhkmSJEmSJKk+3ZOq9rPR3VtXPxvdk2ZR0s9Gd29XybaK/Wx09w55Pxvdk2r2s9HdO2z62SRJklSZwXuSJEnLqFrBe5IkSZIkSZLqVCt4T5IkSRoEp82VJEmSJEmSJEmSJEmSJKnNDN6TJEmSJEmSJEmSJEmSJKnNDN6TJEmSJEmSJEmSJEmSJKnNRnzwXkQcEhGnRMQ1EfFQRDwfEb0RcXlEfDYiVq6Qpzsi0gDLS2vUuXFEzI2IeyNiUf53bkRsOEBbJ0bE1yLi5oh4JiIeiYh5EfHaVjwXkiRJkiRJal5EHBAR8yPisYh4Ku9v+nREjG+yvG0j4vSIeDAino2IOyPi+xGxRpX9142Ib0bE3yKiJyKezPue7o6IUyNipwHqs+9JkiRJkiRJHWc/W/1GfPAe8EHgHcA44D/A6cAVwJbA14CrImLtKnmvAU6usvRWyhARO+b53gU8DpyR/30XcG1EvLpKvjXydn0WmAicDVwP7AX8PSI+Uv9DliRJkiRJUitFxHHAacCOwOXAX4BpwDeAf0TECg2W91bgUuCtwF3AH4ElwBFkfUgbV8j2UuBTwLbAvXkb/gQ8DRwIXBQRn65Sn31PkiRJkiRJ6jj72RoTKaVWltd2EfEq4NaU0oJC+hTgTGAn4NSU0ttLtnUDRwNfTCl1N1DXisCtwNrA11NKnyvZ9jWyF+0eYLOU0jOFvGcCbwHOA96cUno6T38jcBYQwDYppWvrbY8kSZIkSZIGLyL2IfuB5kJgRkrpP3n66sA/gK2AY1JKn6yzvLXJ+pBWBN6fUvpRnj4WmEv2Q9R/A69KJZ1zEfESYC3g2pTSkkKZbwd+QdaHtGVK6cbC9jOx70mSJEmSJEkdZD9b40b8yHsppcuKgXt5+qNAX3Dd61tU3SyywL1bgC8Utn0hT18PeGfphoiYTvaiLgbe0/ei5u38E9nBNIYs+E+SJEmSJEnt1deHNKevQxEgpfQI8KF89YiImFRneUeSdSj+va9DMS9vMdksEr3A9hT6rFJKD6aUri52KObbfgNcQNaHtEfpNvueJEmSJEmSNEzYz9agER+8N4AX8r+LWlTevvnfU4svbr7+23x1vyr5/plSuqtCub/O/+7d7NzOkiRJkiRJalxErEPWwQcv9tEslVK6mGymheWBN9ZZbF9fUKXyFpL9QhfK+5AGUq2vy74nSZIkSZIkdZT9bM1ZZoP3ImIi0J2vnlVlt1dExJyI+FFEfCsiDs7zVbNN/veKKtuvKOzXaL6VgE1q1C9JkiRJkqTW6uu3WZBSurPKPtX6fMrkfUsbF/I1XV5JuTOB3YBngb8WNtv3JEmSJEmSpE6zn60J41pRyHAQEa8HDiYLSHwJ8BpgIvAX4DNVsu2dL6V6I+KjKaVTCuVPBKbkq3dXKe+e/O/UiFgppfRUvr5BrXwppSci4glglXzfG6qUP6CI6Ju/eXGzZUiSJEmSJI0AY/O/91XbIaW0bh3l1Oy3yfX1+WxQY58+XSX/D9SHVLW8iDiebEqQlYFNga2AJ4HDUko9hd3b1vc0mtjPJkmSJEmSRgn72V7U9n62ZSZ4D5gOvKuQ9mvgqJRSbyH9drI5lv8M9A1xOB2YDbwJODkiFqeUflWSp3REvqeobGHJ/6uU7NeXt1q+vryr5MugjRkzZuzAe0mSJEmSJI1MS5YsaVVR9fbbQH39No30IdUq72BgUsn6w8AHUkp/qFFn2/qeRhP72SRJkiRJ0rLMfraKdbatn22ZCd5LKR0HHJfPJzwNeAvwBWDPiNg3pXRhyb6/qFDEP8nmI/4e8BHgOxFxekrpuaFvfUstHjNmzNjFi/1BsCRJkiRJWnaNHTuWJUuWLK7zV78jTkppVYCIWA3YkuyHqL+PiFOBd6SU7PwZevazSZIkSZKkZZ79bJ3tZxvTycqHQkrp+ZTS7SmlY4G9gMnALyNihTqL6CabCmMq8KqS9CdL/l+pSt6VS/5/okLeavlK8z5RYx9JkiRJkiS1Vqv7bRrpQxqwvJTSgvxHqXsB84CDgA9WqdO+J0mSJEmSJHWK/WxNWOaC90qllC4jm1t4PWC7OvMsAB7KV9ctSX8SWJCvTquSfb387yMppdLhE3tq5YuI0qEUeyrtI0mSJEmSpCHRk/9dr8Y+fdt6auzT566S/wfqQ6qnPABSSgmYm6/uW9jcV459T5IkSZIkSeqUnvyv/WwNWKaD93J9QXRr1LNzRIzlxXmOnyxs/k/+t1og4HaF/RrN9xRwSx3NlCRJkiRJUmtclf+dEhEbVNmnWp9PmZTSE8BthXxNl1dQrZ/LvidJkiRJkiR1mv1sTVimg/ciYnVg63y13ifszcCKQAKuKGw7I/97UET0e+7y9QPz1T8U8p2Z/90xIipFZh6c/z07pfR8ne2UJEmSJEnSIKWU7gX+na8eXNweETuR/YJ3EfCnOovt60OqVN7KwN75arEPaSC753+L/Vxn5n/te5IkSZIkSVJH2M/WnBEdvBcR0yPikIiYUGHbpsDpwPLApSml/+bp0yLiHVXy7AP8JF/9VUrpgcIuc4H/AZsCXy5s+3Kefi9wSumGlNL1wB+BscBPI2KFkjr3AmYBS4CvD/yoJUmSJEmS1GJfy//OjohX9CVGxBTg+Hz1Byml3pJt+0bETRFxXoXyjgOeBvaIiPeV5Bmbl7cqWUfmX0szRcThEbFZsbCIGB8RhwMfzZN+VLrdvidJkiRJkiQNE/azNSiyaXxHpojYFTifbCjCq8gC55Yjm3f4FWTBiTcCe6aU7s7zvDzfd2H+9z5gBWA6sEle9PnAm1NKCyvUuSPZC74icF2+bJkvTwF7pJQurZBvDeDivI77gYvIhl6cAQTwsZTS95p/NpbW88KYMWPGLl68eLBFSZIkSZIkDVtjx45lyZIli1NK41pRXkR8l6zT7nngPLJ+nt3JOgD/CbwupfRMyf6zgJ8Dd6WUuiqUdwDwG7KOvsuAHmB7YEPgQWCnlNJthTzzyfqKbgeuJ+u/egmwBbAmWcfg51NKcyrU15a+p9HEfjZJkiRJkjQa2M9WVl9b+9lGevDeVOB9wM7AS4GpwHhgAfBfsiERf55SWlSSZwrwKbIXcWNgClnA3yPAlcCvgd+mlJbUqHdj4P8Be+R1Pgz8HfhSSun2GvlWAT4L7E8WYPgUcDnw7ZRSpejRhtmpKEmSJEmSRoNWdyoCRMTbgA8DLyfrY7od+CXwnZTSc4V9Z1GjUzHfZ1vgc2R9V5PIOvvOAb6cUnqwwv5vBN4CvApYG5gMPAPcDVwInJhSurZG+4e872k0sZ9NkiRJkiSNBvazVayvbf1sIzp4T+UG06mYUmLx4sV4TEgDGzNmDGPGjCEiOt0USZIkqWleB2o4aPb6aig6FaVS9rNJ7WE/myRJkpYFXgdqOLCfbWTySRcLFy6kt7eXhQsXsmRJ1QEHJRWMGzeOyZMns9pqqzFmzJhON0eSJEmqm9eBGm68vtKywvOr1Bw/ByRJkjRSeR2o4cbrq5HHkfeWMY3+InjBggU8+GDZ6JGSGrDyyiuz7rrr+utgSZIkjQheB2o4a+T6yl8Ea6jZzya1n/1skiRJGkm8DtRwZj/byOGTPootXLhw6QfJCiuswOTJk1lhhRXsGJHqsHjxYnp7e1mwYAELFy7k8ccfZ/LkyZ1uliRJklST14Eajry+0rLA86vUPD8HJEmSNBJ5HajhyOurkcngvVGst7cXyD5Ipk2b5nCZUgPGjx/PhAkTln74Pfnkk37oSZIkadjzOlDDkddXWhZ4fpWa5+eAJEmSRiKvAzUceX01Mnn2GKVSSixcuBCAyZMn+0EiNWnixIkAPP300zgNuSRJkoYzrwM13Hl9pZHK86vUGn4OSJIkaaTwOlDDnddXI4tnkFFq8eLFLFmyBMgiwSU1Z/nllweyL2iLFy/ucGskSZKk6rwO1HDn9ZVGKs+vUmv4OSBJkqSRwutADXdeX40sBu+NUqWRtc65LjWv9P1jxLokSZKGM68DNdx5faWRyvOr1Bp+DkiSJGmk8DpQw53XVyOLwXuSJEmSJEmSJEmSJEmSJLWZwXuSJEmSJEmSJEmSJEmSJLWZwXuSJEmSJEmSJEmSJEmSJLWZwXuSJEmSJEmSJEmSJEmSJLXZuE43QMPf3294sNNNaNge01/SknJuv/12Nt54YyKCBx98kKlTp5bt88tf/pJDDz0UgF/84he84x3vKNvn4Ycf5iUveQkpJW677TY22mijlrSvGbNmzeLkk0/m5z//ObNmzWo4/6OPPsqPfvQjzj33XG666SYWLFjAhAkTmDZtGq95zWt4+9vfzmtf+9rWN1ySJElS23TNntfpJjSkZ87MlpU1nK4Du7u7+eIXv8jRRx9Nd3d3w/mL5s+fz2677caMGTOYP3/+oMuT1ISb/9zpFjRus71aUsxwOr+2iv1skiRJkgbUPanTLWhMd2/LihpO14H2s2k4c+Q9qYaNNtqI9dZbj5QSF1xwQcV9zj///KX/Vzspz58/n5QS6623Xkc7FAfrF7/4BV1dXXzuc5/j0ksvZdNNN2X//ffnta99LS+88AI/+clP2H333Xnb297W6aY2JSKIiE43Q5IkSVIHeR1YmddLkgbL82t/9rNJkiRJWtZ5HViZ10sqMnhPGsBuu+0G9P/QKDV//nymTp3KuuuuW/PDpLSskejEE0/kne98J0899RSf+cxneOihh7jwwgv5zW9+w5lnnslNN93E9ddfzwEHHMCtt97a6eZKkiRJUtOGy3XgEUccwY033sgRRxzRdBmSNJwMl/Nrp9nPJkmSJGm0GC7XgfazaTgzeE8aQK0Pk3vuuYc77riDGTNmMGPGDG6//Xbuueeesv368o7UTsWbbrqJj370owAcc8wxzJkzh1VWWaVsv+nTp3Paaafx3e9+t91NlCRJkqSWGS7XgauvvjovfelLWX311ZsuQ5KGk+Fyfu0k+9kkSZIkjSbD5TrQfjYNZwbvSQPo+wC48cYbefDBB/tt64vw3nXXXZkxY0a/tD4PPvggN954Y7+y+lx++eW87W1vY+2112a55ZZjjTXWYO+99+Zvf/tbxbbMmjWLiGDu3Llcd911HHjggay11lqMHTu237zsCxYs4Mgjj2T99ddn+eWXZ9q0aRxxxBEsWLCgqefgG9/4Bs8//zxbb701Rx555ID777LLLmVp9957Lx/5yEfYZJNNmDBhApMmTWLHHXfkpJNOYvHixWX7d3d3ExFV55ufP38+EcGuu+5aNf3555/nG9/4BltssQUrrLACU6ZMYb/99lv6ehTr6tM3TG3f0tPTM+BjliRJkrTsGKrrwP/9738cddRRbL755qy44opMnDiR7bffnh/84Ae88MILZe2odV2UUuJnP/sZ2223HSuuuCJTpkxhr7324pJLLql6vVRqKK6XTj/9dPbYYw+mTJnC+PHjmTJlCtOnT+d973sf1157bdW2SBo97Gezn81+NkmSJGl0sZ+tvA197GdTn3GdboA03K2//vpssMEG3HnnncyfP58DDzxw6ba+D44ZM2aw3HLLAVnU96GHHlq2zwYbbMD666+/NP3HP/4xH/jAB1iyZAnbbLMNu+66K3fddRfnnHMO55xzDt3d3Rx99NEV23TJJZfwgQ98gLXWWotddtmFZ555hokTJwLZh9fOO+/MrbfeyuTJk3nTm97EkiVL+NWvfsVf/vIXtthii4Yef0qJs88+G4B3vvOdTc29/u9//5s999yTBQsWMG3aNPbZZx96e3uZP38+l1xyCWeccQZnnXXW0uewFZ5//nne+MY3cskll7DLLruw+eabc/nll3PGGWdw/vnnc9VVV9HV1QXAy1/+ct71rndx8sknA/Cud72rX1krr7xyy9olSZIkafgbiuvACy+8kH322YfHHnuMrq4uXve617Fo0SIuv/xyPvKRj3D22WdzzjnnMH78+Lra+OEPf5gTTjiBMWPGsPPOO7PWWmvx3//+l1122WXAYJChuF760pe+xNFHH824cePYYYcdWGeddejt7eXuu+/mpz/9KVtssQUve9nL6npskpZd9rPZz2Y/myRJkjS62M9mP5sGZvCeVIfddtuNO++8k/PPP7/sw2Tq1KlsscUWRARrrrlmWSR4pfnX//vf//KhD32IlBKnnHJKvw+fP//5z+yzzz50d3ezww478LrXva6sPT/+8Y+ZPXs2X/3qVxkzpv8AmkcccQS33norO++8M2effTaTJk0Csl8Jv/GNb+Sss85q6LHfeeedPProowBsv/32DeUFWLRoEQcccAALFizgAx/4AN/73veWfkjecccd7L777px77rl88Ytf5Ktf/WrD5VdzySWXsM0223D77bez5pprAvDss8+yzz77cO655/L1r3+dk046CYB99tmHffbZZ+mH5Ny5c1vWDkmSJEkjUyuvAx944AH2228/Hn/8cY4//nje//73L72We/TRR3nb297GX//6V77+9a/zf//3fwO27ayzzuKEE05g5ZVX5txzz2WHHXZYuu3YY4/lE5/4RM38rb5eWrRoEXPmzGHllVfmiiuuYLPNNuu3/a677uKZZ54Z8HFJGh3sZ7OfTZIkSdLoYj+b/WyqzWlzpTpUmof97rvv5o477mCXXXZZ+ivZGTNmcOedd3LXXXct3a/S/Ovf/e53eeGFF9h33337dSgC7LXXXhx++OEAfOtb36rYnk033ZSvfOUrZR2K99xzD3/4wx+ICE488cSlHYoAq622GieeeGLDj/3hhx9e+v8aa6zRcP7TTz+du+66i7XXXpvjjjuuX3T7hhtuyLe//W0Avv/97/Pss882XH41EcHPf/7zpR+QABMmTOCLX/wiAH//+99bVpckSZKkZU8rrwOPO+44Hn30UT784Q/zwQ9+sN+13JQpUzjllFMYP348P/jBD0gpDdi27373uwB85CMf6dehCHDUUUcNGBDS6uulJ554gmeeeYYNN9ywrEMRsl9Yv/SlL22oTEnLLvvZMvazSZIkSRot7Gern/1so5PBe1Id+j4IbrnlFu6//36g/xCufYrzsD/wwAPcfPPN/coo3T5r1qyK9b3nPe8B4KKLLmLx4sVl2/fZZx/Gjh1bln7hhReyZMkSXvGKVzB9+vSy7S9/+cvbPnxq32M96KCDWH755cu277fffkyePJknn3ySK6+8smX1Tps2ja233rosffPNNwfgvvvua1ldkiRJkpY9rbwOnDdvHkC/XxaXWmedddhkk014+OGHufXWW2u264UXXuCSSy4B4JBDDqm4z8EHH1yzjFZfL02dOpWuri6uvfZaPvGJT3DDDTc0lF/S6GI/W/PsZ5MkSZI0EtnPVj/72UYng/ekOvSd4OHFyO6+D4xdd9116X7FD5O+v5tssgnrrLPO0v36TtAbbLBBxfo22mgjIBtOtW8qjVJ9c6IX3XvvvTXLHWhbJVOnTl36/0MPPdRQXhj4sUbE0m2t7OibNm1axfRVVlkFyIablSRJkqRqWnkdeMcddwCw8847ExEVl76OuNJRmSp55JFHlo6mVO3asFp6n6G4XjrllFNYY401OPbYY9liiy2YMmUKb3zjG/nOd77DI4880nB5kpZd9rNl7GeTJEmSNFrYz9YY+9lGn3GdboA0Uuy2227ceuutnH/++Rx88MHMnz+fKVOmsOWWWy7dZ/r06UydOnXpB06lqTxaYYUVVmhpebV0dXWx2mqrsWDBAv7973+z8847t63uWpYsWVJze3GqE0mSJElqVKuuA/uuX9761rey0kor1axzypQpg25331Qj1QzF9dLOO+9MT08P8+bN44ILLuCSSy7h3HPP5c9//jNHH300Z5xxBrvvvnvL65U0MtnPZj+bJEmSpNHFfrb62c82+njVLdWpdB72u+++mzvvvLPf/Ot9dtllF+666y56enqWRoIXOxWLUeFFfekTJkxgtdVWq7uNfeX29PRU3afWtkrGjBnD3nvvDWQR3o0a6LEC3Hnnnf32BVhuueUAePLJJyvmKZ3nXpIkSZKGQquuA9dbbz0APvOZzzB37tyay0tf+tKabZoyZcrSqRKrXRc1et3XKiussAJvfetb+f73v8+VV17JAw88wOGHH86TTz7Ju9/97o60SdLwZD+b/WySJEmSRhf72RpjP9voYvCeVKe+4Vpvv/12fvnLX/ZLK9U3lOuvfvUrbrnllor79a3PnTu3Yl0/+9nPgCyiety4+gfI7Ptw+89//sNNN91Utv2aa67h2muvrbu8Pp/5zGcYP34811xzDccdd9yA+1900UVL/+97rL/97W+XDjlb6owzzuCxxx5j4sSJbLvttkvT+zoYb7zxxop19M1l30rjx48HsrntJUmSJKlV14F77bUXAKeddtqg2zR+/Hhe85rXAPDrX/+64j6/+c1vBl1PpXqhseulqVOn8s1vfhOAu+++m8cee6zl7ZI0MtnPZj+bJEmSpNHFfrb+9YL9bHqRwXtSndZcc00233xzAI455hig9ofJscceC8Dmm2/Ommuu2W+fj33sY4wbN44zzzxz6QdTn7/+9a+cdNJJAHzyk59sqI3Tpk1j3333ZcmSJXzwgx/kiSeeWLrtscce40Mf+hAppYbK7HsMfY/nqKOO4nOf+1zFX+recsstvP3tb+ejH/3o0rQDDjiAadOm8b///Y+jjjqq3wfQnXfeySc+8QkAPvKRjzBhwoSl21772tcyZswYzj33XC644IKl6Sklvve97/H73/++4ccxkHXXXReA66+/vuVlS5IkSRp5WnUd+KlPfYpVV12VY489lmOOOYbnnnuurIw777yz7Pqwmr5rru9973tceuml/bZ997vf5bLLLqurnEbUul666667+MlPftLvGrTP2WefDcDkyZNZZZVVWt4uSSOT/Wz2s0mSJEkaXexne5H9bCoyeE9qQN9wrAsWLGC11VZjq622Kttnq622YrXVVmPBggX98hT3+eEPf0hEcOihh7LttttyyCGHsNNOO7HnnnuyaNEiuru7ef3rX99wG3/4wx+y0UYbMX/+fDbYYAP2339/9ttvPzbccEMefPBB3vzmNzdcJsARRxzBz372M1ZccUW+/vWvs8YaazBjxgwOPvhg9ttvP6ZPn85mm23Gqaee2m/42eWXX57f/e53rLbaapxwwglsvPHGHHTQQcycOZPp06dz55138oY3vIGjjz66X33rrbceH/nIR1iyZAm77747u+22G/vvvz+bbLIJn/zkJ5k9e3ZTj6OW/fffH4A99tiDAw88kPe+9728973v5dFHH215XZIkSZJGhlZcB6677rr88Y9/ZPLkyXzyk59kvfXWY/fdd+cd73gHe++9NxtvvDEbbrghP/jBD+pq07777rt0moyddtqJ3XbbjYMPPpitttqKT3ziE3z84x8HXpwmsRVqXS899thjvO9972P11Vfnla98JQceeCAHHnggr3jFKzj00EOJCL71rW8xduzYlrVH0shnP5v9bJIkSZJGF/vZMvazqaj+eQI0au0x/SWdbsKwsdtuu3H88ccDVJx/HSAi2HnnnfnjH/+4NE8lhx9+OFtvvTXf/va3ufjii7n22muZNGkSb3zjG/nYxz7G6173uqbauOaaa3LZZZfxxS9+kTPOOINzzjmHNdZYg4MOOogvf/nLDf/KuNRhhx3G3nvvzUknncS5557LjTfeyCWXXMKECRPo6uri8MMP55BDDmGXXXbpl2/77bfn6quv5hvf+AZ//vOfOeOMM1h++eXZZptteOc738l73/veitOWfOc732HatGn85Cc/4ZJLLmHllVdmxx135LTTTuOJJ55gzpw5TT+WSr785S8zZswY/vCHP3DmmWcujdL/whe+wJQpU1palyRJkjSc9cyZ2ekmDButug7cZZdduP766/nBD37AvHnz+Pe//82iRYtYY401mDZtGu94xzuWdtzV48QTT2T77bfnhBNO4NJLL2XChAm88pWv5Pjjj6enpweA1VdfvYlHXFmt66WNNtqI4447jgsuuIDrrruOP/3pT6SUWGeddXjnO9/JRz/60X7TN0qj2mZ7dboFw4b9bPazSZIkSaNCd2+nWzBs2M+WsZ9NRdHM0P4aviLihTFjxoxdvHhxzf2ef/55brvtNgA23njjpXNqS2qM7yVJkiSNFH53HT3e/e538/Of/5xjjjmGo446qtPNqVujx+jYsWNZsmTJ4pSSP07VkLCfTWov30uSJEkaKfzuOnrYz6Z2cNpcSZIkSZKkEeb666/nqaee6pe2ZMkSfvzjHzN37lwmTJjA29/+9g61TpIkSZIkSRoZ7GdTpxkxKUmSJEmSNMJ861vf4rTTTmObbbZhnXXW4amnnuKGG26gp6eHsWPHcvzxx7PWWmt1upmSJEmSJEnSsGY/mzrN4D1JkiRJkqQR5sADD+SJJ57gyiuv5Oqrr+aFF15gjTXW4MADD+TII4/k1a9+daebKEmSJEmSJA179rOp0wzekyRJkiRJGmH22msv9tprr043Q5IkSZIkSRrR7GdTp43pdAMkSZIkSZIkSZIkSZIkSRptDN6TJEmSJEmSJEmSJEmSJKnNDN6TJEmSJEmSJEmSJEmSJKnNDN4bpcaMefGlX7x4cQdbIo1sS5YsWfp/RHSwJZIkSVJtXgdquPP6SiOV51epNfwckCRJ0kjhdaCGO6+vRhaD90apMWPGMG7cOAB6e3s73Bpp5HrqqacAGDt2LGPHju1wayRJkqTqvA7UcOf1lUYqz69Sa/g5IEmSpJHC60ANd15fjSzjOt0AdUZEMHnyZB5++GEWLFjA4sWLmThxIssvv7xRt1IdlixZwlNPPcVDDz0EwMSJE33vSJIkaVjzOlDDlddXGuk8v0qD4+eAJEmSRhqvAzVceX01MkVKqdNtUAtFxAtjxowZW8/QrEuWLOG+++5j4cKFbWiZtOxabrnlmDZtGuPHj+90UyRJkqSavA7UcNfI9dXYsWNZsmTJ4pSSP07VkLCfTWo/+9kkSZI0UngdqOHOfraRw+C9ZUwjnYoAKSUef/xxnnzySZ5++mk8HqT6jR07lokTJ7L66qvboShJkqQRw+tADUfNXF/ZqaihZj+b1D72s0mSJGkk8jpQw5H9bCOPwXvLmEY7FUullFi8eLEfKFIdIoKxY8c6xKwkSZJGNK8DNRw0e31lp6KGmv1sUnvYzyZJkqRlgdeBGg7sZxuZfNK1VEQwbpyHhCRJkiSNFl4HStLQ8PwqSZIkSaOL14GSmjWm0w2QJEmSJEmSJEmSJEmSJGm0MXhPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2M3hPkiRJkiRJkiRJkiRJkqQ2G/HBexFxSEScEhHXRMRDEfF8RPRGxOUR8dmIWLlG3j0i4k8R8UhEPBMRN0XEV2vlyfNtHBFzI+LeiFiU/50bERsOkG9iRHwtIm7O63skIuZFxGubffySJEmSJEmSJEmSJEmSpJEnUkqdbsOgRMTFwA7AjcA9wALgJcBrgBWA24AZKaX/FfJ9HDgWSMBFwIPAzsCawM3ATimlRyrUtyPwV2BF4HrgOmBLYAvgKWCPlNKlFfKtkdezKXA/cHHezp3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\n",
      "text/plain": [
       "<Figure size 2560x1600 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_words(lda_model, quentin_tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<div id=\"ldavis_el2133620101787067846307051945\"></div>\n",
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       "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
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       "   // already loaded: just create the visualization\n",
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       "       new LDAvis(\"#\" + \"ldavis_el2133620101787067846307051945\", ldavis_el2133620101787067846307051945_data);\n",
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       "   // require.js is available: use it to load d3/LDAvis\n",
       "   require.config({paths: {d3: \"https://d3js.org/d3.v5\"}});\n",
       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.3.1/pyLDAvis/js/ldavis.v3.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el2133620101787067846307051945\", ldavis_el2133620101787067846307051945_data);\n",
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       "    // require.js not available: dynamically load d3 & LDAvis\n",
       "    LDAvis_load_lib(\"https://d3js.org/d3.v5.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.3.1/pyLDAvis/js/ldavis.v3.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el2133620101787067846307051945\", ldavis_el2133620101787067846307051945_data);\n",
       "            })\n",
       "         });\n",
       "}\n",
       "</script>"
      ],
      "text/plain": [
       "PreparedData(topic_coordinates=              x         y  topics  cluster       Freq\n",
       "topic                                                \n",
       "2      0.003671  0.018075       1        1  33.181174\n",
       "0      0.000668  0.010005       2        1  29.120025\n",
       "1      0.023862 -0.016613       3        1  25.923103\n",
       "3     -0.028201 -0.011467       4        1  11.775698, topic_info=      Term       Freq       Total Category  logprob  loglift\n",
       "162   wait  63.000000   63.000000  Default  30.0000  30.0000\n",
       "215   hold  46.000000   46.000000  Default  29.0000  29.0000\n",
       "1406  deep  18.000000   18.000000  Default  28.0000  28.0000\n",
       "307   real  87.000000   87.000000  Default  27.0000  27.0000\n",
       "13    blue  23.000000   23.000000  Default  26.0000  26.0000\n",
       "...    ...        ...         ...      ...      ...      ...\n",
       "44    fuck   7.269900   88.354503   Topic4  -5.5808  -0.3585\n",
       "161   time   6.434220   62.077895   Topic4  -5.7029  -0.1276\n",
       "68     let   7.397346  106.303440   Topic4  -5.5634  -0.5260\n",
       "76     man   6.723874   93.977578   Topic4  -5.6588  -0.4983\n",
       "47      go   6.177871  103.425520   Topic4  -5.7435  -0.6787\n",
       "\n",
       "[321 rows x 6 columns], token_table=      Topic      Freq         Term\n",
       "term                              \n",
       "2422      1  0.612493            -\n",
       "141       3  0.898849           1k\n",
       "142       3  0.802078       a-town\n",
       "1954      1  0.360985  abercrombie\n",
       "1954      2  0.360985  abercrombie\n",
       "...     ...       ...          ...\n",
       "321       3  0.172057          yuh\n",
       "321       4  0.114705          yuh\n",
       "1980      1  0.358470       zombie\n",
       "1980      2  0.358470       zombie\n",
       "1980      4  0.358470       zombie\n",
       "\n",
       "[632 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[3, 1, 2, 4])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vis = pyLDAvis.gensim_models.prepare(lda_model, corpus, dictionary=lda_model.id2word)\n",
    "vis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quick Analysis of EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The word importance graphs, show that our topics are not all that strong. You might have expected the topic model to find distinct topics such as romance, partying, money etc.  but the actual topics are fairly muddled. If you play around with the intertopic distance mapping and adjust the relevance metric, there is definitely some distinction between topics, but as the topic keywords bar chart shows, a lot of these topics are being driven by a few common words. \n",
    "\n",
    "One interpretation is that topic modelling is inherently difficult for rap songs. Individual songs are unlikely to use the same topic related word over and over (e.g. car): They instead use pronouns, synonyms, or figurative speech to refer to a single entity. Swear words are incredibly common in rap, yet can be used in very fluid ways. If we really cared about topic modelling, we could do more aggressive stop word removal or even some tf-idf scaling to wash out how often these flex words get used, but, at the end of the day, we probably need a more language aware approach to model rap topics. A huge amount of rap depends on factors such as rhyme scheme, enunciation, pitch, and tone which are very hard to pick up in a bag of words approach. \n",
    "\n",
    "The good thing is that topic modelling and our classification task are different tasks. The fact that Quentin Miller uses the word “yeah” frequently doesn’t help build topics within his corpus, but it could differentiate his songs from Drake’s songs. Indeed, when it comes to comparing the two artists, they seem to use similar vocabulary, but Drake appears keener on talking about girls than Quentin Miller. Quentin Miller also is a bit fouler mouthed than Drake based on the word cloud. \n",
    "\n",
    "(work in progress: there is definitely more to explore here such as swear word frequency, intra-album topics/word distributions, and looking at the combined corpus of Drake and Quentin Miller songs). \n",
    "\n"
   ]
  }
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