jls-topic-modelling.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# JLS topic modelling"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Setup\n",
    "\n",
    "uncomment and run once"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "# nlp\n",
    "#!conda install -c conda-forge bertopic\n",
    "#import nltk\n",
    "#nltk.download('punkt')\n",
    "#nltk.download('stopwords')\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-06-19T15:16:18.433948Z",
     "end_time": "2023-06-19T15:16:18.455947Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Load or generate article dataset"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Corpus has 1564 articles from 1974 to 2021. Date information is missing for 86 articles.\n"
     ]
    }
   ],
   "source": [
    "# Suppress the NumbaDeprecationWarning\n",
    "import warnings\n",
    "from numba import NumbaDeprecationWarning\n",
    "warnings.filterwarnings(\"ignore\", category=NumbaDeprecationWarning)\n",
    "\n",
    "import os, re, pickle\n",
    "from bertopic import BERTopic\n",
    "from tqdm import tqdm\n",
    "from nltk.corpus import stopwords as stop_words\n",
    "from datetime import datetime\n",
    "from IPython.display import SVG, HTML, Image, display\n",
    "import pandas as pd\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "# Load the articles\n",
    "if not os.path.exists('cache/jls-articles.pkl'):\n",
    "    corpus_dir = os.getenv(\"JLS3_CORPUS_DIR\")\n",
    "    d2y = pd.read_csv('data/jls-doi-to-year.csv')\n",
    "    stopwords=set(stop_words.words('english'))\n",
    "    # remove noise words\n",
    "    stopwords.update({'jstor','conditions','terms','use','content','de','la','cit','yves','pm','tue','mon','wed','thu','fri','downloaded','jan','feb','mar','apr','may','jun','jul','aug','sep','oct','nov','dec','vsl','pl','weyl','viscusi', 'lea', 'vm'})\n",
    "    articles = []\n",
    "    timestamps = []\n",
    "    not_found = []\n",
    "    for filename in tqdm(os.listdir(corpus_dir)):\n",
    "        if filename.endswith(\".txt\"):\n",
    "            with open(os.path.join(corpus_dir, filename), \"r\", encoding=\"utf-8\") as f:\n",
    "                article = f.read()\n",
    "                tmp_article = []\n",
    "                doi = filename.strip(\".txt\").replace(\"_\",\"/\")\n",
    "                year = d2y.loc[d2y['DOI'] == doi, 'year']\n",
    "                if year.empty:\n",
    "                    year = d2y.loc[d2y['DOI'] == f\"{doi}.x\", 'year']\n",
    "                # only use articles for which we have a year\n",
    "                if not year.empty:\n",
    "                    timestamp = datetime.strptime(str(year.values[0]), '%Y').date()\n",
    "                    timestamps.append(timestamp)\n",
    "                    for word in str(article).split():\n",
    "                        # remove tokens containing numbers or those in the list of stopwords\n",
    "                        if re.match(r'\\d', word) is None and word.lower() not in stopwords:\n",
    "                            tmp_article.append(word)\n",
    "                    articles.append(' '.join(tmp_article))\n",
    "                else:\n",
    "                    not_found.append(doi)\n",
    "\n",
    "    earliest_year = min(timestamps).strftime('%Y')\n",
    "    latest_year = max(timestamps).strftime('%Y')\n",
    "    with open('cache/jls-articles.pkl', 'wb') as f:\n",
    "        pickle.dump((articles, earliest_year, latest_year, not_found, timestamps), f)\n",
    "else:\n",
    "    with open('cache/jls-articles.pkl', 'rb') as file:\n",
    "        articles, earliest_year, latest_year, not_found, timestamps = pickle.load(file)\n",
    "\n",
    "print(f\"Corpus has {len(articles)} articles from {earliest_year} to {latest_year}. Date information is missing for {len(not_found)} articles.\")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-04T14:45:30.300207100Z",
     "start_time": "2023-10-04T14:45:30.196159800Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Load or generate model"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-10-03T16:04:50.373241Z",
     "end_time": "2023-10-03T16:04:51.239942Z"
    }
   },
   "outputs": [],
   "source": [
    "if not os.path.exists('cache/jls-bertopic-data.pkl'):\n",
    "    model: BERTopic = BERTopic(verbose=True)\n",
    "    topics, probs = model.fit_transform(articles)\n",
    "    with open('cache/jls-bertopic-data.pkl', 'wb') as f:\n",
    "        pickle.dump((model, topics, probs), f)\n",
    "else:\n",
    "    with open('cache/jls-bertopic-data.pkl', 'rb') as f:\n",
    "        model, topics, probs = pickle.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Generate topic table"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2023-10-03T16:33:19.077750Z",
     "end_time": "2023-10-03T16:33:19.138916Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "    No             KW1                KW2             KW3             KW4  \\\n1    1             law              legal          social       sociology   \n2    2        children             family           child         parents   \n3    3           court             judges        judicial           judge   \n4    4       education           students             law           legal   \n5    5          police           evidence        criminal        officers   \n6    6           women           feminist          gender             law   \n7    7         ireland           northern           irish       political   \n8    8         housing              local        property             law   \n9    9             sex       prostitution          sexual         workers   \n10  10   environmental          pollution           water           waste   \n11  11          rights              human           right     development   \n12  12       corporate         governance    shareholders       directors   \n13  13        economic                law       economics           weber   \n14  14             aid              legal         lawyers           cases   \n15  15          safety         regulatory      regulation          health   \n16  16            rape             sexual         justice        violence   \n17  17           south            african          africa          rights   \n18  18     information         government            data        assembly   \n19  19           women        affirmative  discrimination           equal   \n20  20  constitutional  constitutionalism        european       political   \n21  21           legal            subject             sat          police   \n22  22          labour         employment         workers      industrial   \n23  23        contract          contracts         parties             law   \n24  24         welfare            benefit          social        security   \n25  25         medical            doctors      negligence        patients   \n26  26          mental           patients         patient          health   \n27  27          police             miners          strike            coal   \n28  28            marx                law           class           legal   \n29  29      sentencing          offenders         process        criminal   \n30  30          french              droit             law           legal   \n31  31          social              crime         justice        hamilton   \n32  32      corruption          political       brazilian  anticorruption   \n33  33         private         regulation      regulatory   international   \n34  34            film              films       courtroom           trial   \n35  35       religious               jews        religion          jewish   \n36  36        abortion             foetus           women       pregnancy   \n37  37        violence                war             law            iraq   \n\n    Count  \n1     163  \n2      67  \n3      60  \n4      59  \n5      40  \n6      37  \n7      33  \n8      33  \n9      30  \n10     30  \n11     25  \n12     25  \n13     24  \n14     24  \n15     23  \n16     21  \n17     20  \n18     20  \n19     20  \n20     18  \n21     18  \n22     18  \n23     18  \n24     17  \n25     17  \n26     16  \n27     15  \n28     15  \n29     15  \n30     14  \n31     13  \n32     13  \n33     12  \n34     12  \n35     12  \n36     11  \n37     10  ",
      "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>No</th>\n      <th>KW1</th>\n      <th>KW2</th>\n      <th>KW3</th>\n      <th>KW4</th>\n      <th>Count</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>law</td>\n      <td>legal</td>\n      <td>social</td>\n      <td>sociology</td>\n      <td>163</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>children</td>\n      <td>family</td>\n      <td>child</td>\n      <td>parents</td>\n      <td>67</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>court</td>\n      <td>judges</td>\n      <td>judicial</td>\n      <td>judge</td>\n      <td>60</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>education</td>\n      <td>students</td>\n      <td>law</td>\n      <td>legal</td>\n      <td>59</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>5</td>\n      <td>police</td>\n      <td>evidence</td>\n      <td>criminal</td>\n      <td>officers</td>\n      <td>40</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>6</td>\n      <td>women</td>\n      <td>feminist</td>\n      <td>gender</td>\n      <td>law</td>\n      <td>37</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>7</td>\n      <td>ireland</td>\n      <td>northern</td>\n      <td>irish</td>\n      <td>political</td>\n      <td>33</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>8</td>\n      <td>housing</td>\n      <td>local</td>\n      <td>property</td>\n      <td>law</td>\n      <td>33</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>9</td>\n      <td>sex</td>\n      <td>prostitution</td>\n      <td>sexual</td>\n      <td>workers</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>10</td>\n      <td>environmental</td>\n      <td>pollution</td>\n      <td>water</td>\n      <td>waste</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>11</td>\n      <td>rights</td>\n      <td>human</td>\n      <td>right</td>\n      <td>development</td>\n      <td>25</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>12</td>\n      <td>corporate</td>\n      <td>governance</td>\n      <td>shareholders</td>\n      <td>directors</td>\n      <td>25</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>13</td>\n      <td>economic</td>\n      <td>law</td>\n      <td>economics</td>\n      <td>weber</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>14</td>\n      <td>aid</td>\n      <td>legal</td>\n      <td>lawyers</td>\n      <td>cases</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>15</td>\n      <td>safety</td>\n      <td>regulatory</td>\n      <td>regulation</td>\n      <td>health</td>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>16</td>\n      <td>rape</td>\n      <td>sexual</td>\n      <td>justice</td>\n      <td>violence</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>17</td>\n      <td>south</td>\n      <td>african</td>\n      <td>africa</td>\n      <td>rights</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>18</td>\n      <td>information</td>\n      <td>government</td>\n      <td>data</td>\n      <td>assembly</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>19</td>\n      <td>women</td>\n      <td>affirmative</td>\n      <td>discrimination</td>\n      <td>equal</td>\n      <td>20</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>20</td>\n      <td>constitutional</td>\n      <td>constitutionalism</td>\n      <td>european</td>\n      <td>political</td>\n      <td>18</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>21</td>\n      <td>legal</td>\n      <td>subject</td>\n      <td>sat</td>\n      <td>police</td>\n      <td>18</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>22</td>\n      <td>labour</td>\n      <td>employment</td>\n      <td>workers</td>\n      <td>industrial</td>\n      <td>18</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>23</td>\n      <td>contract</td>\n      <td>contracts</td>\n      <td>parties</td>\n      <td>law</td>\n      <td>18</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>24</td>\n      <td>welfare</td>\n      <td>benefit</td>\n      <td>social</td>\n      <td>security</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>25</td>\n      <td>medical</td>\n      <td>doctors</td>\n      <td>negligence</td>\n      <td>patients</td>\n      <td>17</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>26</td>\n      <td>mental</td>\n      <td>patients</td>\n      <td>patient</td>\n      <td>health</td>\n      <td>16</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>27</td>\n      <td>police</td>\n      <td>miners</td>\n      <td>strike</td>\n      <td>coal</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>28</td>\n      <td>marx</td>\n      <td>law</td>\n      <td>class</td>\n      <td>legal</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>29</td>\n      <td>sentencing</td>\n      <td>offenders</td>\n      <td>process</td>\n      <td>criminal</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>30</td>\n      <td>french</td>\n      <td>droit</td>\n      <td>law</td>\n      <td>legal</td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>31</td>\n      <td>social</td>\n      <td>crime</td>\n      <td>justice</td>\n      <td>hamilton</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>32</td>\n      <td>corruption</td>\n      <td>political</td>\n      <td>brazilian</td>\n      <td>anticorruption</td>\n      <td>13</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td>33</td>\n      <td>private</td>\n      <td>regulation</td>\n      <td>regulatory</td>\n      <td>international</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>34</td>\n      <td>film</td>\n      <td>films</td>\n      <td>courtroom</td>\n      <td>trial</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>35</td>\n      <td>religious</td>\n      <td>jews</td>\n      <td>religion</td>\n      <td>jewish</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>36</td>\n      <td>abortion</td>\n      <td>foetus</td>\n      <td>women</td>\n      <td>pregnancy</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>37</td>\n      <td>violence</td>\n      <td>war</td>\n      <td>law</td>\n      <td>iraq</td>\n      <td>10</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = model.get_topic_info()\n",
    "# Filter out rows with negative topic numbers\n",
    "df = df[df['Topic'] >= 0]\n",
    "\n",
    "# Split the 'Name' column into its constituent parts\n",
    "df[['No', 'KW1', 'KW2', 'KW3', 'KW4']] = df['Name'].str.split('_', expand=True)\n",
    "\n",
    "# Convert 'No' column to integer and add 1\n",
    "df['No'] = df['No'].astype(int) + 1\n",
    "\n",
    "# Drop the original 'Name' and 'Topic' columns\n",
    "df = df.drop(columns=['Name', 'Topic'])\n",
    "\n",
    "# Reorder columns\n",
    "df = df[['No', 'KW1', 'KW2', 'KW3', 'KW4', 'Count']]\n",
    "\n",
    "# save it\n",
    "html_table = df.to_html(index=False)\n",
    "with open('docs/article-table-01.html', 'w') as f:\n",
    "    f.write(html_table)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Load or generate topics over time data"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "import os, pickle\n",
    "if not os.path.exists(\"cache/jls-topics-over-time.pkl\"):\n",
    "    topics_over_time = model.topics_over_time(articles, timestamps)\n",
    "    with open(\"cache/jls-topics-over-time.pkl\", \"wb\") as f:\n",
    "        pickle.dump(topics_over_time, f)\n",
    "else:\n",
    "    with open('cache/jls-topics-over-time.pkl', 'rb') as file:\n",
    "        topics_over_time = pickle.load(file)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-04T14:18:10.100367800Z",
     "start_time": "2023-10-04T14:18:08.274848800Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "     Topic                                              Words  Frequency  \\\n0       -1                       law, legal, social, one, see          5   \n1        2        sociology, law, social, legal, sociological          3   \n2        3  parent, families, family, children, supplementary          1   \n3        4         legal, law, thought, jurisprudence, aubert          1   \n4        5     law, education, legal, academic, jurisprudence          2   \n..     ...                                                ...        ...   \n612     15     welfare, citizenship, social, benefits, advice          1   \n613     29  sentencing, tata, process, professionals, stories          1   \n614     33         films, film, bouclin, womeninprison, genre          1   \n615     34            jewish, jews, religious, religion, race          1   \n616     35  abortion, goodwin, pregnant, reproductive, foetal          1   \n\n      Timestamp  \n0    1974-01-01  \n1    1974-01-01  \n2    1974-01-01  \n3    1974-01-01  \n4    1974-01-01  \n..          ...  \n612  2021-01-01  \n613  2021-01-01  \n614  2021-01-01  \n615  2021-01-01  \n616  2021-01-01  \n\n[617 rows x 4 columns]",
      "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>Topic</th>\n      <th>Words</th>\n      <th>Frequency</th>\n      <th>Timestamp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>-1</td>\n      <td>law, legal, social, one, see</td>\n      <td>5</td>\n      <td>1974-01-01</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>sociology, law, social, legal, sociological</td>\n      <td>3</td>\n      <td>1974-01-01</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>parent, families, family, children, supplementary</td>\n      <td>1</td>\n      <td>1974-01-01</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>legal, law, thought, jurisprudence, aubert</td>\n      <td>1</td>\n      <td>1974-01-01</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>law, education, legal, academic, jurisprudence</td>\n      <td>2</td>\n      <td>1974-01-01</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>612</th>\n      <td>15</td>\n      <td>welfare, citizenship, social, benefits, advice</td>\n      <td>1</td>\n      <td>2021-01-01</td>\n    </tr>\n    <tr>\n      <th>613</th>\n      <td>29</td>\n      <td>sentencing, tata, process, professionals, stories</td>\n      <td>1</td>\n      <td>2021-01-01</td>\n    </tr>\n    <tr>\n      <th>614</th>\n      <td>33</td>\n      <td>films, film, bouclin, womeninprison, genre</td>\n      <td>1</td>\n      <td>2021-01-01</td>\n    </tr>\n    <tr>\n      <th>615</th>\n      <td>34</td>\n      <td>jewish, jews, religious, religion, race</td>\n      <td>1</td>\n      <td>2021-01-01</td>\n    </tr>\n    <tr>\n      <th>616</th>\n      <td>35</td>\n      <td>abortion, goodwin, pregnant, reproductive, foetal</td>\n      <td>1</td>\n      <td>2021-01-01</td>\n    </tr>\n  </tbody>\n</table>\n<p>617 rows × 4 columns</p>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "topics_over_time"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-04T14:24:00.272050200Z",
     "start_time": "2023-10-04T14:24:00.240774700Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Scatterplot topics over time"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import re\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Calculate total frequency for each topic\n",
    "total_freq = topics_over_time.groupby('Topic')['Frequency'].sum().sort_values(ascending=False)\n",
    "total_freq = total_freq.iloc[1:]\n",
    "\n",
    "# Select the 20 topics with the highest total frequency, excluding the junk topic\n",
    "top_topics = total_freq.head(21).index\n",
    "\n",
    "# Filter your data to include only these top 20 topics\n",
    "filtered_data = topics_over_time[topics_over_time['Topic'].isin(top_topics)].copy()  # Create a copy to avoid SettingWithCopyWarning\n",
    "lookup_dict = total_freq.to_dict()\n",
    "filtered_data.loc[:, 'Total_Frequency'] = filtered_data['Topic'].map(lookup_dict)\n",
    "\n",
    "# Create a mapping of topics numbers to words using the filtered data\n",
    "topic_num_to_name = {num: re.sub(r'[^a-z]', ' ', name).strip() + f\" ({freq})\" for num, name, freq in zip(filtered_data['Topic'], filtered_data['Words'], filtered_data['Total_Frequency'])}\n",
    "\n",
    "# Plot\n",
    "fig, ax = plt.subplots()\n",
    "ax.set_xlabel('Year')\n",
    "ax.set_ylabel('Topics')\n",
    "\n",
    "scatter = ax.scatter(filtered_data['Timestamp'], filtered_data['Topic'], s=filtered_data['Frequency'])\n",
    "\n",
    "# Rename y ticks to correspond to actual topic names\n",
    "plt.yticks(top_topics, [topic_num_to_name[num] for num in top_topics])\n",
    "\n",
    "# Invert the y-axis so that the topic with the highest total frequency appears at the top\n",
    "ax.invert_yaxis()\n",
    "\n",
    "# Create lines for each topic\n",
    "for t in top_topics:\n",
    "    data = filtered_data[filtered_data['Topic'] == t][['Timestamp', 'Topic']].sort_values('Timestamp')\n",
    "    ax.plot(data['Timestamp'], data['Topic'], color='grey', linewidth=0.5)\n",
    "\n",
    "plt.savefig(\"docs/jls-topics-over-time.png\", bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-10-04T14:33:18.815220300Z",
     "start_time": "2023-10-04T14:33:16.407595500Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Change of topics over time, with individual timeseries for each decade"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "# Convert 'Timestamp' to datetime\n",
    "topics_over_time['Timestamp'] = pd.to_datetime(topics_over_time['Timestamp'])\n",
    "\n",
    "# Calculate the year for each row in the data\n",
    "topics_over_time['Year'] = topics_over_time['Timestamp'].dt.year\n",
    "\n",
    "# Get the first year and last year\n",
    "first_year = topics_over_time['Year'].min()\n",
    "last_year = topics_over_time['Year'].max()\n",
    "\n",
    "# Create list of \"decades\" with sliding windows\n",
    "decades = [(start, start + 10) for start in range(first_year, last_year, 10)]\n",
    "\n",
    "for i, (start, end) in enumerate(decades):\n",
    "    # Filter the data for the current \"decade\"\n",
    "    data_decade = topics_over_time[(topics_over_time['Year'] >= start) & (topics_over_time['Year'] < end)]\n",
    "\n",
    "    # Calculate total frequency for each topic in the current \"decade\"\n",
    "    total_freq_decade = data_decade.groupby('Topic')['Frequency'].sum().sort_values(ascending=False)\n",
    "\n",
    "    # Select the top 20 topics from the current \"decade\"\n",
    "    top_topics_decade = total_freq_decade.head(20).index\n",
    "\n",
    "    # Filter data_decade to include only the top 20 topics\n",
    "    data_decade = data_decade[data_decade['Topic'].isin(top_topics_decade)]\n",
    "\n",
    "    # Create a mapping of topics numbers to words using the data_decade\n",
    "    topic_num_to_word = {num: word for num, word in zip(data_decade['Topic'], data_decade['Words'])}\n",
    "\n",
    "    # Create a new continuous range of numbers for y-axis, but in reversed order\n",
    "    y_values = range(20, 0, -1)\n",
    "    topic_to_y_value = {topic: y for topic, y in zip(top_topics_decade, y_values)}\n",
    "\n",
    "    # Create figure for the plot\n",
    "    fig, ax = plt.subplots(figsize=(10, 7))\n",
    "\n",
    "    # Plot\n",
    "    ax.set_title(f'Years: {start}-{end-1}')\n",
    "    ax.set_xlabel('Year')\n",
    "    ax.set_ylabel('Topics')\n",
    "    scatter = ax.scatter(data_decade['Timestamp'], data_decade['Topic'].map(topic_to_y_value), s=data_decade['Frequency'])\n",
    "\n",
    "    # Rename y ticks to correspond to actual topics\n",
    "    y_labels = [f'{rank}. {topic_num_to_word[num]}' for rank, num in zip(range(1, 21), top_topics_decade)]\n",
    "    ax.set_yticks(y_values)\n",
    "    ax.set_yticklabels(y_labels)\n",
    "\n",
    "    # Create lines for each topic\n",
    "    for t in top_topics_decade:\n",
    "        data = data_decade[data_decade['Topic'] == t].sort_values('Timestamp')\n",
    "        ax.plot(data['Timestamp'], data['Topic'].map(topic_to_y_value), color='grey', linewidth=0.5)\n",
    "\n",
    "    # Save the figure\n",
    "    filename = f'docs/jls-topics-{start}-{end-1}.png'\n",
    "    plt.savefig(filename, bbox_inches=\"tight\", dpi=300)\n",
    "\n",
    "    # Clear the figure\n",
    "    plt.close(fig)\n",
    "\n"
   ],
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    "ExecuteTime": {
     "start_time": "2023-06-19T16:07:33.556818Z",
     "end_time": "2023-06-19T16:07:36.872698Z"
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  },
  {
   "cell_type": "markdown",
   "source": [
    "## Plot document topics"
   ],
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "if os.path.exists('cache/jls-document-topics.pkl'):\n",
    "    with open('cache/jls-document-topics.pkl', 'rb') as f:\n",
    "        fig_document_topics = pickle.load(f)\n",
    "else:\n",
    "    # create document topics, this takes a long time\n",
    "    fig_document_topics = model.visualize_documents(articles, hide_document_hover=True)\n",
    "    with open('cache/jls-document-topics.pkl', 'wb') as f:\n",
    "        pickle.dump(fig_document_topics, f)\n",
    "img = fig_document_topics.to_image(format=\"png\", height=800)\n",
    "with open(\"docs/jls-document-topics.png\", \"wb\") as f:\n",
    "    f.write(img)\n",
    "fig_document_topics.write_html(\"docs/jls-document-topics.html\")\n",
    "display(Image(img))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-06-02T15:51:04.034044Z",
     "end_time": "2023-06-02T16:48:47.650994Z"
    }
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