{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Topic modelling med gensim og dhlab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dhlab as dh\n",
    "import pandas as pd\n",
    "import gensim\n",
    "import pyLDAvis\n",
    "from pprint import pprint\n",
    "import pyLDAvis.gensim_models as genvis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sprit urn URN:NBN:no-nb_digibok_2020090207537"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finn en bok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "bok = dh.Corpus(doctype=\"digibok\", limit=1, title=\"Norgeshistorie\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "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>dhlabid</th>\n",
       "      <th>urn</th>\n",
       "      <th>title</th>\n",
       "      <th>authors</th>\n",
       "      <th>oaiid</th>\n",
       "      <th>sesamid</th>\n",
       "      <th>isbn10</th>\n",
       "      <th>city</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>year</th>\n",
       "      <th>publisher</th>\n",
       "      <th>langs</th>\n",
       "      <th>subjects</th>\n",
       "      <th>ddc</th>\n",
       "      <th>genres</th>\n",
       "      <th>literaryform</th>\n",
       "      <th>doctype</th>\n",
       "      <th>ocr_creator</th>\n",
       "      <th>ocr_timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100441759</td>\n",
       "      <td>URN:NBN:no-nb_digibok_2009111200018</td>\n",
       "      <td>Elevens ressursbok : verdens- og Norgeshistori...</td>\n",
       "      <td>Berger , Finn / Henningsen , Rune / Aass , Ole</td>\n",
       "      <td>oai:nb.bibsys.no:999721559964702202</td>\n",
       "      <td>9d569a267470cda9851b718c9bdd20f0</td>\n",
       "      <td>8200423387</td>\n",
       "      <td></td>\n",
       "      <td>19970101</td>\n",
       "      <td>1997</td>\n",
       "      <td>Universitetsforl.</td>\n",
       "      <td>nob</td>\n",
       "      <td>Eldre tid / Tidlig nytid / Historie / Verden /...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>Faglitteratur</td>\n",
       "      <td>digibok</td>\n",
       "      <td>nb</td>\n",
       "      <td>20060101</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     dhlabid                                  urn  \\\n",
       "0  100441759  URN:NBN:no-nb_digibok_2009111200018   \n",
       "\n",
       "                                               title  \\\n",
       "0  Elevens ressursbok : verdens- og Norgeshistori...   \n",
       "\n",
       "                                          authors  \\\n",
       "0  Berger , Finn / Henningsen , Rune / Aass , Ole   \n",
       "\n",
       "                                 oaiid                           sesamid  \\\n",
       "0  oai:nb.bibsys.no:999721559964702202  9d569a267470cda9851b718c9bdd20f0   \n",
       "\n",
       "       isbn10 city  timestamp  year          publisher langs  \\\n",
       "0  8200423387        19970101  1997  Universitetsforl.   nob   \n",
       "\n",
       "                                            subjects ddc genres  \\\n",
       "0  Eldre tid / Tidlig nytid / Historie / Verden /...              \n",
       "\n",
       "    literaryform  doctype ocr_creator  ocr_timestamp  \n",
       "0  Faglitteratur  digibok          nb       20060101  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'URN:NBN:no-nb_digibok_2009111200018'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "urn = bok.frame.urn.tolist()[0]\n",
    "urn"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Chunking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Chunks \n",
    "res = dh.Chunks(chunks=1000, urn=urn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(res.chunks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def chunks_to_corpus(chunks_list):\n",
    "    res = []\n",
    "    for x in chunks_list:\n",
    "        inner_res = \"\"\n",
    "        for y in x:\n",
    "            inner_res += (y + \" \") * x[y]\n",
    "            \n",
    "        res.append(inner_res)\n",
    "    return res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "texts = chunks_to_corpus(res.chunks)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Find delta TFIDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(res.chunks).transpose().fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>25</th>\n",
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       "      <th>30</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(</th>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>)</th>\n",
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       "      <td>49.0</td>\n",
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       "      <td>42.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>55.0</td>\n",
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       "      <td>38.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-</th>\n",
       "      <td>8.0</td>\n",
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       "    <tr>\n",
       "      <th>.</th>\n",
       "      <td>22.0</td>\n",
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       "      <td>25.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>40.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>virkelige</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ørkenen</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>årer</th>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>ødela</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6844 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             0     1     2     3     4     5     6     7     8     9   ...  \\\n",
       "(           8.0   0.0   4.0   1.0   4.0   4.0   2.0   4.0  11.0   4.0  ...   \n",
       ")           8.0   0.0   4.0   1.0   4.0   4.0   2.0   4.0  11.0   4.0  ...   \n",
       ",          49.0  36.0  44.0  60.0  43.0  39.0  55.0  42.0  20.0  55.0  ...   \n",
       "-           8.0   5.0   2.0   5.0   4.0   3.0   3.0   8.0   3.0   6.0  ...   \n",
       ".          22.0  38.0  25.0  27.0  25.0  25.0  37.0  24.0  32.0  36.0  ...   \n",
       "...         ...   ...   ...   ...   ...   ...   ...   ...   ...   ...  ...   \n",
       "verdighet   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   \n",
       "virkelige   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   \n",
       "Ørkenen     0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   \n",
       "årer        0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   \n",
       "ødela       0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...   \n",
       "\n",
       "             21    22    23    24    25    26    27    28    29    30  \n",
       "(           2.0   3.0   2.0   6.0   4.0   1.0   5.0   3.0   2.0   1.0  \n",
       ")           2.0   3.0   2.0   5.0   5.0   1.0   5.0   3.0   2.0   1.0  \n",
       ",          38.0  39.0  40.0  45.0  58.0  38.0  32.0  41.0  42.0  38.0  \n",
       "-           4.0  10.0   9.0   1.0   2.0   1.0   5.0  20.0   3.0   0.0  \n",
       ".          27.0  46.0  32.0  41.0  17.0  38.0  36.0  31.0  41.0  40.0  \n",
       "...         ...   ...   ...   ...   ...   ...   ...   ...   ...   ...  \n",
       "verdighet   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   1.0  \n",
       "virkelige   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   1.0  \n",
       "Ørkenen     0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   1.0  \n",
       "årer        0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   1.0  \n",
       "ødela       0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   1.0  \n",
       "\n",
       "[6844 rows x 31 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import top 50000 tokens from NB collection\n",
    "tot = dh.totals(50000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Divide corpus freq count by tot\n",
    "res = df.sum(axis=1) /  tot.freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get top 1000 more frequent tokens\n",
    "target_tokens = res.sort_values(ascending=False).iloc[:1000].dropna().index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>21</th>\n",
       "      <th>22</th>\n",
       "      <th>23</th>\n",
       "      <th>24</th>\n",
       "      <th>25</th>\n",
       "      <th>26</th>\n",
       "      <th>27</th>\n",
       "      <th>28</th>\n",
       "      <th>29</th>\n",
       "      <th>30</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Forstå</th>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FØR</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vikingene</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>læreboka</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1850</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fortrinn</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hustruen</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>liga</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skitt</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>van-</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            0    1    2    3    4    5    6    7    8    9   ...   21   22  \\\n",
       "Forstå     0.0  3.0  3.0  0.0  2.0  0.0  0.0  0.0  0.0  6.0  ...  3.0  3.0   \n",
       "FØR        3.0  2.0  3.0  3.0  4.0  2.0  2.0  2.0  2.0  3.0  ...  4.0  2.0   \n",
       "vikingene  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "læreboka   0.0  0.0  1.0  0.0  1.0  1.0  1.0  0.0  1.0  0.0  ...  2.0  0.0   \n",
       "1850       4.0  2.0  3.0  3.0  4.0  2.0  2.0  2.0  2.0  3.0  ...  4.0  4.0   \n",
       "...        ...  ...  ...  ...  ...  ...  ...  ...  ...  ...  ...  ...  ...   \n",
       "fortrinn   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "hustruen   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  1.0  ...  0.0  0.0   \n",
       "liga       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "skitt      0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "van-       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  ...  0.0  0.0   \n",
       "\n",
       "            23   24   25   26   27   28   29   30  \n",
       "Forstå     1.0  0.0  1.0  4.0  0.0  1.0  0.0  0.0  \n",
       "FØR        2.0  2.0  3.0  3.0  1.0  3.0  1.0  1.0  \n",
       "vikingene  0.0  2.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "læreboka   0.0  0.0  0.0  0.0  0.0  1.0  0.0  0.0  \n",
       "1850       2.0  2.0  3.0  3.0  1.0  4.0  1.0  1.0  \n",
       "...        ...  ...  ...  ...  ...  ...  ...  ...  \n",
       "fortrinn   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "hustruen   0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "liga       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "skitt      1.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "van-       0.0  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "\n",
       "[1000 rows x 31 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[target_tokens]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "outer_lst = []\n",
    "\n",
    "for col in df.loc[target_tokens].columns:\n",
    "    inner_str = \"\"\n",
    "    for i, x in df.loc[target_tokens][col].items():\n",
    "        if x > 0:\n",
    "            inner_str += (i + \" \") * int(x)\n",
    "        \n",
    "    outer_lst.append(inner_str)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(outer_lst)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prep for LDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = [x.split() for x in outer_lst]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "id2word = gensim.corpora.Dictionary(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus = [id2word.doc2bow(chunk) for chunk in data]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "lda_model = gensim.models.LdaMulticore(\n",
    "    corpus = corpus,\n",
    "    id2word = id2word,\n",
    "    num_topics = 10\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.022*\"brenning\" + 0.015*\"1650\" + 0.014*\"faget\" + 0.014*\"1850\" + '\n",
      "  '0.014*\"Hva\" + 0.014*\"FØR\" + 0.011*\"målene\" + 0.011*\"EUROPA\" + 0.010*\"NYE\" + '\n",
      "  '0.010*\"hersker\"'),\n",
      " (1,\n",
      "  '0.022*\"Hva\" + 0.017*\"1850\" + 0.013*\"garden\" + 0.012*\"Kilde\" + '\n",
      "  '0.011*\"revolusjon\" + 0.011*\"sådde\" + 0.010*\"slags\" + 0.009*\"industrielle\" + '\n",
      "  '0.009*\"skipet\" + 0.008*\"FØR\"'),\n",
      " (2,\n",
      "  '0.020*\"1850\" + 0.015*\"Hva\" + 0.015*\"FØR\" + 0.014*\"garden\" + '\n",
      "  '0.012*\"Kapittel\" + 0.011*\"Kilde\" + 0.010*\"sådde\" + 0.009*\"Forstå\" + '\n",
      "  '0.009*\"slags\" + 0.008*\"1814\"'),\n",
      " (3,\n",
      "  '0.013*\"faget\" + 0.009*\"målene\" + 0.007*\"Vurdering\" + 0.006*\"kjennskap\" + '\n",
      "  '0.006*\"menneskene\" + 0.006*\"middels\" + 0.005*\"Lag\" + 0.005*\"læreplanen\" + '\n",
      "  '0.005*\"læreren\" + 0.005*\"informere\"'),\n",
      " (4,\n",
      "  '0.032*\"Hva\" + 0.025*\"Hvordan\" + 0.023*\"1850\" + 0.020*\"FØR\" + '\n",
      "  '0.016*\"Oppgave\" + 0.016*\"Forstå\" + 0.015*\"Spørsmål\" + 0.014*\"slags\" + '\n",
      "  '0.010*\"Hvilke\" + 0.010*\"perioden\"'),\n",
      " (5,\n",
      "  '0.031*\"Hva\" + 0.014*\"1850\" + 0.014*\"slags\" + 0.014*\"Hvordan\" + '\n",
      "  '0.014*\"Spørsmål\" + 0.012*\"FØR\" + 0.012*\"skipet\" + 0.010*\"Hvilke\" + '\n",
      "  '0.010*\"Kilde\" + 0.009*\"vikingene\"'),\n",
      " (6,\n",
      "  '0.022*\"Hvordan\" + 0.021*\"Hva\" + 0.020*\"FØR\" + 0.019*\"1850\" + 0.012*\"1814\" + '\n",
      "  '0.011*\"Guri\" + 0.011*\"Sønsteby\" + 0.010*\"Kilde\" + 0.010*\"Spørsmål\" + '\n",
      "  '0.010*\"slags\"'),\n",
      " (7,\n",
      "  '0.042*\"Kapittel\" + 0.032*\"Hva\" + 0.022*\"1850\" + 0.012*\"FØR\" + '\n",
      "  '0.012*\"samfunnet\" + 0.012*\"revolusjon\" + 0.011*\"Hvordan\" + 0.010*\"slags\" + '\n",
      "  '0.010*\"læreplanen\" + 0.010*\"faget\"'),\n",
      " (8,\n",
      "  '0.045*\"Hva\" + 0.028*\"1850\" + 0.026*\"FØR\" + 0.019*\"Hvordan\" + '\n",
      "  '0.019*\"Spørsmål\" + 0.017*\"Kilde\" + 0.016*\"slags\" + 0.016*\"Oppgave\" + '\n",
      "  '0.013*\"Forstå\" + 0.010*\"1814\"'),\n",
      " (9,\n",
      "  '0.027*\"Danmarks\" + 0.020*\"Kilde\" + 0.013*\"Hva\" + 0.012*\"Hvordan\" + '\n",
      "  '0.011*\"Spørsmål\" + 0.011*\"FØR\" + 0.010*\"rikes\" + 0.010*\"udi\" + 0.009*\"1850\" '\n",
      "  '+ 0.009*\"raad\"')]\n"
     ]
    }
   ],
   "source": [
    "pprint(lda_model.print_topics())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "prep = genvis.prepare(lda_model, corpus, id2word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save to html\n",
    "# pyLDAvis.save_html(prep, \"result.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "pyLDAvis.enable_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.4.0/pyLDAvis/js/ldavis.v1.0.0.css\">\n",
       "\n",
       "\n",
       "<div id=\"ldavis_el16322371405018533611367746808394\" style=\"background-color:white;\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "var ldavis_el16322371405018533611367746808394_data = {\"mdsDat\": {\"x\": [-0.07957452623062444, -0.06121929372519747, -0.03131210065209837, 0.09503224756701437, 0.008969197302096272, 0.011693399710424142, -0.010953456971162264, 0.009166658082123878, -0.009436745498368725, 0.06763462041579281], \"y\": [-0.011677336907247598, 0.0035372162832690373, 0.012582050486933952, -0.016060651537341063, 0.060362114902610946, 0.05477613508148052, -0.08015718063657769, -0.012879779424359786, 0.0003281446422438046, -0.010810712891012023], \"topics\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], \"cluster\": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], \"Freq\": [49.599399173800585, 14.719968193590857, 9.515434509632813, 6.204798554081132, 6.190422603167639, 5.170203807499747, 4.8698833004388895, 3.529522632364108, 0.10018679007103323, 0.10018043535319406]}, \"tinfo\": {\"Term\": [\"Hva\", \"1850\", \"Kilde\", \"revolusjon\", \"F\\u00d8R\", \"slags\", \"Hvordan\", \"industrielle\", \"Kapittel\", \"Oppgave\", \"Sp\\u00f8rsm\\u00e5l\", \"Forst\\u00e5\", \"Danmarks\", \"kjennskap\", \"garden\", \"1814\", \"faget\", \"skipet\", \"Ha\", \"menneskene\", \"vurdere\", \"brenning\", \"samfunnet\", \"Toten\", \"l\\u00e6reboka\", \"kapitlet\", \"m\\u00e5lene\", \"kilde\", \"udi\", \"Hvilke\", \"reagerte\", \"fj\\u00f8set\", \"DEN\", \"industriell\", \"Columbus\", \"indianerne\", \"landsbyene\", \"beskriver\", \"1804\", \"tronen\", \"1801\", \"revolusjonen\", \"riket\", \"rettigheter\", \"romerne\", \"fellesskapets\", \"NORGE\", \"1788\", \"GAMLE\", \"rettighetene\", \"1789\", \"nasjonen\", \"eiendomsrett\", \"1814\", \"suverenitet\", \"Latin-Amerika\", \"begivenhetene\", \"VERDEN\", \"F\\u00e6r\\u00f8yene\", \"koloniene\", \"makten\", \"revolusjon\", \"Kunne\", \"Hva\", \"industrielle\", \"utviklingen\", \"Oppgave\", \"F\\u00d8R\", \"Kilde\", \"\\u00e5rsakene\", \"1850\", \"Sp\\u00f8rsm\\u00e5l\", \"NYE\", \"kongen\", \"slags\", \"kildene\", \"Forst\\u00e5\", \"Ha\", \"Hvordan\", \"rike\", \"kjennskap\", \"Utdrag\", \"kapitlet\", \"Hvilke\", \"viktigst\", \"vurdere\", \"perioden\", \"Hvilken\", \"l\\u00e6reboka\", \"kilde\", \"interessant\", \"samfunnet\", \"likte\", \"Nature\", \"Etiopia\", \"Wood\", \"slekten\", \"n\\u00e6r-\", \"Darwin\", \"tropiske\", \"Tusenvis\", \"oppfunnet\", \"redskaper\", \"nordvestlige\", \"avtrykk\", \"forfedre\", \"Herald\", \"Menneskets\", \"h\\u00f8ste\", \"datidens\", \"Luther\", \"skapene\", \"Laos\", \"nesker\", \"Nord-Europa\", \"7800\", \"tj\\u00e6re\", \"Overskudd\", \"Burma\", \"bondens\", \"tjenestene\", \"befolket\", \"Homo\", \"speiler\", \"skadelig\", \"Kjennskap\", \"Kapittel\", \"Danmarks\", \"hellig\", \"Hvordan\", \"perioden\", \"Forst\\u00e5\", \"Oppgave\", \"samfunnet\", \"likte\", \"Hva\", \"1850\", \"Utviklingen\", \"Hvilke\", \"F\\u00d8R\", \"kapitlet\", \"Ha\", \"KAPITTEL\", \"interessant\", \"slags\", \"Sp\\u00f8rsm\\u00e5l\", \"kjennskap\", \"udi\", \"viktigst\", \"vurdere\", \"utviklingen\", \"rike\", \"Kilde\", \"Utvikling\", \"Hvilken\", \"kilde\", \"jarlen\", \"tauet\", \"seksuell\", \"skipet\", \"Torkjell\", \"L\\u00f8s\", \"Leira\", \"h\\u00f8ne\", \"Bue\", \"hane\", \"Derp\\u00e5\", \"Snorre\", \"brennes\", \"imens\", \"skapninger\", \"hogg\", \"fullbyrdet\", \"\\u00f8ks\", \"skittent\", \"samleie\", \"bredd\", \"treverket\", \"treverk\", \"921\", \"jarl\", \"v\\u00e5pnene\", \"\\u00f8ksa\", \"voldelig\", \"m\\u00e5ltidet\", \"merkverdig\", \"holdninger\", \"vikingene\", \"japansk\", \"\\u00f8rer\", \"sverd\", \"Hva\", \"kinesiske\", \"kj\\u00f8pmenn\", \"slags\", \"Hvilke\", \"japanske\", \"beretning\", \"Sp\\u00f8rsm\\u00e5l\", \"Hvordan\", \"menneskene\", \"1850\", \"samfunnet\", \"Vest-Europa\", \"F\\u00d8R\", \"Kilde\", \"utviklingen\", \"kriger\", \"Forst\\u00e5\", \"kjennskap\", \"kapitlet\", \"perioden\", \"Oppgave\", \"likte\", \"Ha\", \"brenning\", \"torturert\", \"tilst\\u00e5\", \"Catherine\", \"salmen\", \"lise\", \"Braun\", \"fengselet\", \"domkirken\", \"Susanna\", \"sprutet\", \"heks\", \"ellevte\", \"neglene\", \"spedbarn\", \"vest-\", \"anbrakt\", \"Schwartz\", \"Schultz\", \"motivere\", \"smugle\", \"peneste\", \"anstrengende\", \"cellen\", \"trettende\", \"prosjektarbeid\", \"hersker\", \"middels\", \"behager\", \"l\\u00f8gn\", \"faget\", \"henrettet\", \"Vurdering\", \"1650\", \"EUROPA\", \"m\\u00e5lene\", \"NYE\", \"informere\", \"menneskene\", \"Hvilket\", \"1850\", \"F\\u00d8R\", \"Utvikling\", \"Hva\", \"Kilde\", \"kjennskap\", \"Sp\\u00f8rsm\\u00e5l\", \"Hvordan\", \"S\\u00f8nsteby\", \"posen\", \"poser\", \"\\u00e5penbare\", \"Saker\", \"mose\", \"frikjent\", \"1760\", \"plaster\", \"siktem\\u00e5l\", \"overveiet\", \"Fogden\", \"beryktede\", \"1690\", \"1710\", \"1590\", \"1670\", \"forvoldt\", \"Guri\", \"benekter\", \"Fj\", \"bevises\", \"helbrede\", \"flatbr\\u00f8d\", \"ove\", \"1620\", \"1610\", \"sinnssyk\", \"1660\", \"rusten\", \"pose\", \"feet\", \"m\\u00e5lene\", \"middels\", \"1814.\", \"Kiel\", \"Vurdering\", \"faget\", \"Olsdatter\", \"informere\", \"tilstod\", \"1630\", \"Hvordan\", \"1814\", \"Lag\", \"F\\u00d8R\", \"framstilt\", \"1850\", \"Hva\", \"revolusjon\", \"industrielle\", \"vurdere\", \"menneskene\", \"Kilde\", \"Sp\\u00f8rsm\\u00e5l\", \"slags\", \"l\\u00e6reboka\", \"kapitlet\", \"Oppgave\", \"Forst\\u00e5\", \"likte\", \"kjennskap\", \"viktigst\", \"revolusjonen\", \"Kapittel\", \"Universitetsforlaget\", \"undervisningen\", \"kulturer\", \"ifra\", \"l\\u00e6replanen\", \"F\\u00f8ler\", \"verdens-\", \"Kopiering\", \"Vennlig\", \"l\\u00e6reren\", \"\\u00e5ndsverk\", \"rettighetshavere\", \"kopiering\", \"kopieres\", \"\\u00e5rsbasis\", \"Veier\", \"Adressen\", \"Century\", \"erstatningsansvar\", \"T\\u00f8yen\", \"Reform\", \"Skrift\", \"notater\", \"faget\", \"kj\\u00f8pmenn\", \"m\\u00e5lene\", \"hogg\", \"Torkjell\", \"tauet\", \"Vurdering\", \"opprinnelse\", \"samfunnet\", \"revolusjon\", \"Hva\", \"1850\", \"interessant\", \"industrielle\", \"India\", \"slags\", \"F\\u00d8R\", \"skipet\", \"Hvordan\", \"Forst\\u00e5\", \"Hvilke\", \"Sp\\u00f8rsm\\u00e5l\", \"vikingene\", \"kjennskap\", \"\\u00d8st-Europa\", \"Oppgave\", \"kapitlet\", \"Ha\", \"Kilde\", \"Danmarks\", \"rikes\", \"utstedes\", \"told\", \"raad\", \"opph\\u00f8re\", \"nyde\", \"menige\", \"erkebiskop\", \"arbeidsl\\u00f8s\", \"sysselsatt\", \"adel\", \"framstilles\", \"1661\", \"manufaktur\", \"st\\u00f8rsteparten\", \"innr\\u00f8mmelser\", \"kolonier\", \"Sk\\u00e5ne\", \"levebr\\u00f8d\", \"betimelig\", \"besynderlig\", \"Kompani\", \"regjerte\", \"skildres\", \"Mun\", \"Jfc\", \"Parlamentet\", \"sj\\u00f8fart\", \"saameget\", \"sager\", \"fl\\u00e5te\", \"\\u00f8yer\", \"samtykke\", \"heretter\", \"tjenere\", \"udi\", \"Kilde\", \"konger\", \"kilde\", \"rike\", \"Englands\", \"India\", \"Hvordan\", \"Sp\\u00f8rsm\\u00e5l\", \"kongene\", \"Utdrag\", \"F\\u00d8R\", \"Hva\", \"skipet\", \"Hvilke\", \"1850\", \"privilegier\", \"slags\", \"Oppgave\", \"1650\", \"kongen\", \"Hvilken\", \"Eder\", \"S\\u00e6t\", \"s\\u00e5dde\", \"velsignede\", \"erter\", \"1824\", \"preken\", \"t\\u00f8mmermann\", \"1743\", \"Havde\", \"poteten\", \"hugg\", \"embetsmenn\", \"1780\", \"1794\", \"Avgiften\", \"1808\", \"v\\u00e5r-\", \"garden\", \"mj\\u00f8l\", \"byutvikling\", \"Sandbakken\", \"Balke\", \"gulr\\u00f8tter\", \"1811\", \"gryter\", \"kammerset\", \"gravde\", \"frugt\", \"slakting\", \"redskaper\", \"Sosial\", \"urter\", \"notater\", \"Kapittel\", \"Toten\", \"slekten\", \"jordbruket\", \"skilling\", \"Etiopia\", \"1850\", \"Rd\", \"F\\u00d8R\", \"LAND\", \"Kilde\", \"Hva\", \"1814\", \"FOLK\", \"Forst\\u00e5\", \"slags\", \"Wood\", \"folketall\", \"Utvikling\", \"perioden\", \"menneskene\", \"Sp\\u00f8rsm\\u00e5l\", \"Hvordan\", \"kjennskap\", \"Hvilke\", \"Ha\", \"Eder\", \"s\\u00e5dde\", \"S\\u00e6t\", \"slakting\", \"gravde\", \"poteten\", \"1811\", \"mj\\u00f8l\", \"v\\u00e5r-\", \"gulr\\u00f8tter\", \"1794\", \"hugg\", \"erter\", \"garden\", \"Sandbakken\", \"gryter\", \"Lykkelig\", \"velsignede\", \"frugt\", \"jarlen\", \"1824\", \"embetsmenn\", \"Balke\", \"1808\", \"preken\", \"kammerset\", \"1780\", \"tauet\", \"byutvikling\", \"Havde\", \"Sosial\", \"urter\", \"skipet\", \"Torkjell\", \"LAND\", \"Toten\", \"revolusjon\", \"industrielle\", \"Hva\", \"1850\", \"Kilde\", \"forskjellene\", \"slags\", \"pose\", \"FOLK\", \"Oppgave\", \"skilling\", \"S\\u00f8nsteby\", \"F\\u00d8R\", \"beretning\", \"Forst\\u00e5\", \"jordbruket\", \"Sp\\u00f8rsm\\u00e5l\", \"Hvordan\", \"kinesiske\", \"kapitlet\", \"Utvikling\", \"Guri\", \"l\\u00e6reboka\", \"tilsvare\", \"informere\", \"korrigere\", \"motivere\", \"aksen\", \"sirkelen\", \"Plasser\", \"jordas\", \"horisontale\", \"utmerker\", \"samtiden\", \"teknologisk\", \"antikken\", \"faget\", \"veilede\", \"Eleven\", \"sammenlikne\", \"likeverdig\", \"Vurdering\", \"middels\", \"diagram\", \"prosjektarbeid\", \"nyskapning\", \"teren\", \"elevens\", \"opprinnelse\", \"m\\u00e5lene\", \"konstruktiv\", \"Lag\", \"bue\", \"l\\u00e6replanen\", \"l\\u00e6reren\", \"ifra\", \"menneskene\", \"tauet\", \"skipet\", \"kjennskap\", \"jarlen\", \"selvstendighet\", \"utilstrekkelig\", \"Ha\", \"Torkjell\", \"Hva\", \"kulturell\", \"vurdere\", \"l\\u00e6reboka\", \"1850\", \"F\\u00d8R\"], \"Freq\": [107.0, 69.0, 40.0, 19.0, 64.0, 41.0, 54.0, 16.0, 11.0, 36.0, 46.0, 34.0, 12.0, 24.0, 5.0, 19.0, 7.0, 6.0, 22.0, 12.0, 18.0, 6.0, 19.0, 5.0, 11.0, 20.0, 5.0, 14.0, 12.0, 24.0, 3.0104849295784337, 3.010424816266234, 12.810828585410773, 2.8040616500124624, 3.545352318674819, 4.888189299952342, 3.4622541511441614, 5.0481370330143704, 2.682498742043893, 2.039372935399579, 2.0392817046081233, 10.09435751219273, 4.90028303754374, 7.595133827617628, 2.7603189607634278, 1.9112277965490156, 5.178783416064014, 1.9001117843001583, 4.105667794471596, 1.866076334148198, 1.8720093412584364, 1.8599631639052203, 3.111950189240092, 15.240559159436858, 2.5288392150456587, 2.4822255847275163, 1.934892993131112, 3.9553417274386873, 1.8795295166146029, 2.4529732093841883, 4.512037674625613, 14.118421838961126, 3.946338167702067, 68.65105458717406, 11.283878319566995, 14.091779618994275, 23.79462832263188, 39.864820497535725, 26.04681528989968, 9.196047512791761, 41.87882579199094, 28.778171833649214, 9.543455073870968, 8.403019968377125, 24.838280288268972, 6.418910792117347, 20.346449526735388, 14.244785678928128, 29.53465189867739, 10.708216268773386, 14.427269892733776, 7.9750138927316065, 12.079259476958104, 13.372415634564431, 9.5287315556747, 10.370024432062092, 10.192252394717453, 8.10595695265734, 7.496016169601223, 8.404778105955103, 9.430696644493324, 9.574733798247001, 8.318296973378486, 1.2153735108494836, 1.5619676283276818, 1.5451840389656462, 2.2212360771214463, 0.6875856070914691, 1.0071970175186105, 0.6086713802141154, 0.6041178644215961, 0.6018617539996033, 1.359973308867525, 0.5695515263455796, 0.5752846504455813, 0.5718575370166901, 0.5517395510924206, 0.5636066803684066, 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\"sverd\", \"sysselsatt\", \"s\\u00e5dde\", \"s\\u00e5dde\", \"tauet\", \"tilstod\", \"tilstod\", \"tilst\\u00e5\", \"tilst\\u00e5\", \"tjenere\", \"tjenere\", \"tjenere\", \"tjenestene\", \"tjenestene\", \"tj\\u00e6re\", \"torturert\", \"torturert\", \"trettende\", \"tronen\", \"tropiske\", \"udi\", \"udi\", \"udi\", \"undervisningen\", \"undervisningen\", \"utilstrekkelig\", \"utviklingen\", \"utviklingen\", \"utviklingen\", \"utviklingen\", \"vest-\", \"vikingene\", \"vikingene\", \"vikingene\", \"vikingene\", \"vikingene\", \"viktigst\", \"viktigst\", \"viktigst\", \"viktigst\", \"viktigst\", \"vurdere\", \"vurdere\", \"vurdere\", \"vurdere\", \"vurdere\", \"vurdere\", \"v\\u00e5pnene\", \"\\u00d8st-Europa\", \"\\u00d8st-Europa\", \"\\u00d8st-Europa\", \"\\u00d8st-Europa\", \"\\u00e5penbare\", \"\\u00e5rsakene\", \"\\u00e5rsakene\", \"\\u00e5rsakene\", \"\\u00e5rsakene\", \"\\u00e5rsakene\", \"\\u00f8ks\", \"\\u00f8ksa\", \"\\u00f8ksa\", \"\\u00f8rer\", \"\\u00f8rer\", \"\\u00f8yer\", \"\\u00f8yer\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [9, 5, 6, 1, 7, 8, 10, 3, 2, 4]};\n",
       "\n",
       "function LDAvis_load_lib(url, callback){\n",
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       "   !function(LDAvis){\n",
       "       new LDAvis(\"#\" + \"ldavis_el16322371405018533611367746808394\", ldavis_el16322371405018533611367746808394_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://d3js.org/d3.v5\"}});\n",
       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.4.0/pyLDAvis/js/ldavis.v3.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el16322371405018533611367746808394\", ldavis_el16322371405018533611367746808394_data);\n",
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       "    LDAvis_load_lib(\"https://d3js.org/d3.v5.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.jsdelivr.net/gh/bmabey/pyLDAvis@3.4.0/pyLDAvis/js/ldavis.v3.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el16322371405018533611367746808394\", ldavis_el16322371405018533611367746808394_data);\n",
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     "execution_count": 26,
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    "pyLDAvis.display(prep)"
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