SANA-P2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8e153753",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Initial imports\n",
    "import sqlite3 as sql\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "002ed92d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Setup\n",
    "database = \"C:\\\\Users\\\\Nabiha Naqvie\\\\Documents\\\\SANA Project\\\\SANA.db\"\n",
    "connection = sql.connect(database)\n",
    "cursor = connection.cursor()\n",
    "cursor.execute(\"SELECT * FROM SANA\")\n",
    "results = cursor.fetchall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3fd5c14f",
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>Title of the paper</td>\n",
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       "      <td>Tags/ Sub-category</td>\n",
       "      <td>Language</td>\n",
       "      <td>External link</td>\n",
       "      <td>Book/paper</td>\n",
       "      <td>Abstract</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Methods and Perspectives in Islamic Sciences, ...</td>\n",
       "      <td>Ali Paya</td>\n",
       "      <td>Islamic Philosophy</td>\n",
       "      <td>Islamic Studies/ Methodology and Methods in Is...</td>\n",
       "      <td>English</td>\n",
       "      <td>https://www.islamic-college.ac.uk/about/academ...</td>\n",
       "      <td>Book</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ethics, Epistemology, and Religion: Further Th...</td>\n",
       "      <td>Ali Paya</td>\n",
       "      <td>Islamic Philosophy</td>\n",
       "      <td>Ethics/ Epistemology/Religion/Islam</td>\n",
       "      <td>English</td>\n",
       "      <td>https://www.routledge.com/search?kw=Ethics%2C+...</td>\n",
       "      <td>Book</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Analytic Philosophy: Problems and Perspectives...</td>\n",
       "      <td>Ali Paya</td>\n",
       "      <td>Islamic Philosophy</td>\n",
       "      <td>Analytical Philosophy</td>\n",
       "      <td>Persian</td>\n",
       "      <td>https://www.islamic-college.ac.uk/about/academ...</td>\n",
       "      <td>Book</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>On Religious Knowledge (Dar Bareh Ilm-e Dini),...</td>\n",
       "      <td>Ali Paya</td>\n",
       "      <td>Islamic Philosophy</td>\n",
       "      <td>Islamic Sciences/ Religious Knowledge</td>\n",
       "      <td>Persian</td>\n",
       "      <td>https://www.islamic-college.ac.uk/about/academ...</td>\n",
       "      <td>Book</td>\n",
       "      <td>None</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>The Origins and Rhetorical Evolution of the Te...</td>\n",
       "      <td>Shahzad Bashir</td>\n",
       "      <td>Anthropology of Shi’a Islam</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safav...</td>\n",
       "      <td>English</td>\n",
       "      <td>https://brill.com/view/journals/jesh/57/3/arti...</td>\n",
       "      <td>paper</td>\n",
       "      <td>This essay traces the use of the term Qizilb?s...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>Bashir, Shahzad Shah Ismaʿil and the Qizilbash...</td>\n",
       "      <td>Shahzad Bashir</td>\n",
       "      <td>Anthropology of Shi’a Islam</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safav...</td>\n",
       "      <td>English</td>\n",
       "      <td>https://www.journals.uchicago.edu/doi/10.1086/...</td>\n",
       "      <td>paper</td>\n",
       "      <td>The first decade of the sixteeth century of th...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>The Iranian Metaphysicals: Explorations in Sci...</td>\n",
       "      <td>Alireza Doostdar</td>\n",
       "      <td>Anthropology of Shi’a Islam</td>\n",
       "      <td>science/spirituality/mysticism/rationality/met...</td>\n",
       "      <td>English</td>\n",
       "      <td>https://www-jstor-org.proxygw.wrlc.org/stable/...</td>\n",
       "      <td>paper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>Varieties of Islamic Social Science KNOW: A Jo...</td>\n",
       "      <td>Alireza Doostdar</td>\n",
       "      <td>Anthropology of Shi’a Islam</td>\n",
       "      <td>social science/integration in Islam/Islamizati...</td>\n",
       "      <td>English</td>\n",
       "      <td>https://web-a-ebscohost-com.proxygw.wrlc.org/e...</td>\n",
       "      <td>paper</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>Empirical Spirits: Islam, Spiritism, and the V...</td>\n",
       "      <td>Alireza Doostdar</td>\n",
       "      <td>Anthropology of Shi’a Islam</td>\n",
       "      <td>Spiritism in Iran/science/religion/morality</td>\n",
       "      <td>English</td>\n",
       "      <td>https://www-proquest-com.proxygw.wrlc.org/docv...</td>\n",
       "      <td>paper</td>\n",
       "      <td>This article examines some aspects of the rece...</td>\n",
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       "<p>642 rows × 8 columns</p>\n",
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      "text/plain": [
       "                                                 Title            Author  \\\n",
       "0                                   Title of the paper            Author   \n",
       "1    Methods and Perspectives in Islamic Sciences, ...          Ali Paya   \n",
       "2    Ethics, Epistemology, and Religion: Further Th...          Ali Paya   \n",
       "3    Analytic Philosophy: Problems and Perspectives...          Ali Paya   \n",
       "4    On Religious Knowledge (Dar Bareh Ilm-e Dini),...          Ali Paya   \n",
       "..                                                 ...               ...   \n",
       "637  The Origins and Rhetorical Evolution of the Te...    Shahzad Bashir   \n",
       "638  Bashir, Shahzad Shah Ismaʿil and the Qizilbash...    Shahzad Bashir   \n",
       "639  The Iranian Metaphysicals: Explorations in Sci...  Alireza Doostdar   \n",
       "640  Varieties of Islamic Social Science KNOW: A Jo...  Alireza Doostdar   \n",
       "641  Empirical Spirits: Islam, Spiritism, and the V...  Alireza Doostdar   \n",
       "\n",
       "                        Category  \\\n",
       "0                       Category   \n",
       "1             Islamic Philosophy   \n",
       "2             Islamic Philosophy   \n",
       "3             Islamic Philosophy   \n",
       "4             Islamic Philosophy   \n",
       "..                           ...   \n",
       "637  Anthropology of Shi’a Islam   \n",
       "638  Anthropology of Shi’a Islam   \n",
       "639  Anthropology of Shi’a Islam   \n",
       "640  Anthropology of Shi’a Islam   \n",
       "641  Anthropology of Shi’a Islam   \n",
       "\n",
       "                                          Sub-Category  Language  \\\n",
       "0                                   Tags/ Sub-category  Language   \n",
       "1    Islamic Studies/ Methodology and Methods in Is...   English   \n",
       "2                  Ethics/ Epistemology/Religion/Islam   English   \n",
       "3                                Analytical Philosophy   Persian   \n",
       "4                Islamic Sciences/ Religious Knowledge   Persian   \n",
       "..                                                 ...       ...   \n",
       "637  historiography/Islamic history/qizilbash/Safav...   English   \n",
       "638  historiography/Islamic history/qizilbash/Safav...   English   \n",
       "639  science/spirituality/mysticism/rationality/met...   English   \n",
       "640  social science/integration in Islam/Islamizati...   English   \n",
       "641        Spiritism in Iran/science/religion/morality   English   \n",
       "\n",
       "                                        External Links  Book/Paper  \\\n",
       "0                                        External link  Book/paper   \n",
       "1    https://www.islamic-college.ac.uk/about/academ...        Book   \n",
       "2    https://www.routledge.com/search?kw=Ethics%2C+...        Book   \n",
       "3    https://www.islamic-college.ac.uk/about/academ...        Book   \n",
       "4    https://www.islamic-college.ac.uk/about/academ...        Book   \n",
       "..                                                 ...         ...   \n",
       "637  https://brill.com/view/journals/jesh/57/3/arti...       paper   \n",
       "638  https://www.journals.uchicago.edu/doi/10.1086/...       paper   \n",
       "639  https://www-jstor-org.proxygw.wrlc.org/stable/...       paper   \n",
       "640  https://web-a-ebscohost-com.proxygw.wrlc.org/e...       paper   \n",
       "641  https://www-proquest-com.proxygw.wrlc.org/docv...       paper   \n",
       "\n",
       "                                              Abstract  \n",
       "0                                             Abstract  \n",
       "1                                                 None  \n",
       "2                                                 None  \n",
       "3                                                 None  \n",
       "4                                                 None  \n",
       "..                                                 ...  \n",
       "637  This essay traces the use of the term Qizilb?s...  \n",
       "638  The first decade of the sixteeth century of th...  \n",
       "639                                               None  \n",
       "640                                               None  \n",
       "641  This article examines some aspects of the rece...  \n",
       "\n",
       "[642 rows x 8 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sana = pd.read_sql_query(\"Select * FROM SANA\", connection)\n",
    "sana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b16ea082",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Drop the unneccary columns \n",
    "sana = sana.drop([0])\n",
    "sana.drop(['Author', 'Language', 'Book/Paper', 'External Links'], axis=1, inplace = True)\n",
    "#Drop the rows with No abstract \n",
    "sana = sana.replace(to_replace='None', value=np.nan).dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c37209f4",
   "metadata": {},
   "source": [
    "# Pre-Processing the Text \n",
    "## Cleaning, Tokenizing and Lemmatizing \n",
    "#### Includes creating binary values for category "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b2f39080",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to C:\\Users\\Nabiha\n",
      "[nltk_data]     Naqvie\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     C:\\Users\\Nabiha Naqvie\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n",
      "[nltk_data] Downloading package wordnet to C:\\Users\\Nabiha\n",
      "[nltk_data]     Naqvie\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#for text pre-processing\n",
    "import re, string\n",
    "import nltk\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.stem import SnowballStemmer\n",
    "from nltk.corpus import wordnet\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "\n",
    "nltk.download('punkt')\n",
    "nltk.download('averaged_perceptron_tagger')\n",
    "nltk.download('wordnet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ec7f25c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a function for pre-processing the important columns  \n",
    "def preprocess(text):\n",
    "    text = text.lower() #lowercase text\n",
    "    text = text.strip()  #remove whitespace \n",
    "    text = re.compile('[%s]' % re.escape(string.punctuation)).sub(' ', text) #Replace punctuation with space\n",
    "    text = re.sub('\\s+', ' ', text) #Remove extra space and tabs\n",
    "    text = re.sub(r'[^\\w\\s]', '', str(text).lower().strip())\n",
    "    return text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9074d2fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Apply the function to each column \n",
    "#sana['Sub-Category'] = sana['Sub-Category'].apply(preprocess)\n",
    "#sana['Abstract'] = sana['Abstract'].apply(preprocess)\n",
    "#sana['Title'] = sana['Title'].apply(preprocess)\n",
    "sana['Category'] = sana['Category'].apply(preprocess)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d557a7b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create function for stop words\n",
    "def stopword(string):\n",
    "    a= [i for i in string.split() if i not in stopwords.words('english')]\n",
    "    return ' '.join(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4d52e4d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Apply the function for stop words to each column \n",
    "sana['Category'] = sana['Category'].apply(stopword)\n",
    "sana['Title'] = sana['Title'].apply(stopword)\n",
    "sana['Sub-Category'] = sana['Sub-Category'].apply(stopword)\n",
    "sana['Abstract'] = sana['Abstract'].apply(stopword)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f4c1ff97",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a function to tokenize all columns \n",
    "sana[\"AbstractToken\"] = sana.apply(lambda row: word_tokenize(row[\"Abstract\"]), axis=1)\n",
    "sana[\"Sub-CategoryToken\"] = sana.apply(lambda row: word_tokenize(row[\"Sub-Category\"]), axis=1)\n",
    "sana[\"TitleToken\"] = sana.apply(lambda row: word_tokenize(row[\"Title\"]), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c96762ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create a function to lemmatize all columns \n",
    "WNL = WordNetLemmatizer()\n",
    "def lemmatize_text(text):\n",
    "    return [WNL.lemmatize(w) for w in text]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3a6cc15c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Apply the function for lemmatize to all columns \n",
    "sana[\"AbstractToken\"] = sana['AbstractToken'].apply(lemmatize_text)\n",
    "sana[\"AbstractL\"] = sana['AbstractToken'].apply(' '.join)\n",
    "sana[\"Sub-CategoryToken\"] = sana['Sub-CategoryToken'].apply(lemmatize_text)\n",
    "sana[\"Sub-CategoryL\"] = sana['Sub-CategoryToken'].apply(' '.join)\n",
    "sana[\"TitleToken\"] = sana['TitleToken'].apply(lemmatize_text)\n",
    "sana[\"TitleL\"] = sana['TitleToken'].apply(' '.join)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8eb70e78",
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Islam, Modernity New Millennium: Themes Critic...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Religious Studies/ Islamic Studies/Philosophy ...</td>\n",
       "      <td>As world becomes increasingly globalised Islam...</td>\n",
       "      <td>[As, world, becomes, increasingly, globalised,...</td>\n",
       "      <td>[Religious, Studies/, Islamic, Studies/Philoso...</td>\n",
       "      <td>[Islam, ,, Modernity, New, Millennium, :, Them...</td>\n",
       "      <td>As world becomes increasingly globalised Islam...</td>\n",
       "      <td>Religious Studies/ Islamic Studies/Philosophy ...</td>\n",
       "      <td>Islam , Modernity New Millennium : Themes Crit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Analytic Philosophy Perspective Critical Ratio...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Analytical Philosophy/ Critical Rationalism</td>\n",
       "      <td>The present paper attempt explore impact Karl ...</td>\n",
       "      <td>[The, present, paper, attempt, explore, impact...</td>\n",
       "      <td>[Analytical, Philosophy/, Critical, Rationalism]</td>\n",
       "      <td>[Analytic, Philosophy, Perspective, Critical, ...</td>\n",
       "      <td>The present paper attempt explore impact Karl ...</td>\n",
       "      <td>Analytical Philosophy/ Critical Rationalism</td>\n",
       "      <td>Analytic Philosophy Perspective Critical Ratio...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>The Misty Land Ideas Light Dialogue: An Anthol...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Islamic philosophy/ Philosophy/ Comparative</td>\n",
       "      <td>Comparative philosophy, like types philosophy,...</td>\n",
       "      <td>[Comparative, philosophy, ,, like, type, philo...</td>\n",
       "      <td>[Islamic, philosophy/, Philosophy/, Comparative]</td>\n",
       "      <td>[The, Misty, Land, Ideas, Light, Dialogue, :, ...</td>\n",
       "      <td>Comparative philosophy , like type philosophy ...</td>\n",
       "      <td>Islamic philosophy/ Philosophy/ Comparative</td>\n",
       "      <td>The Misty Land Ideas Light Dialogue : An Antho...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Socio-Ethical Consequences Convergent Technolo...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Socio- Ethical Consequences/ Converging Scienc...</td>\n",
       "      <td>Critical assessment social changes impact fact...</td>\n",
       "      <td>[Critical, assessment, social, change, impact,...</td>\n",
       "      <td>[Socio-, Ethical, Consequences/, Converging, S...</td>\n",
       "      <td>[Socio-Ethical, Consequences, Convergent, Tech...</td>\n",
       "      <td>Critical assessment social change impact facto...</td>\n",
       "      <td>Socio- Ethical Consequences/ Converging Scienc...</td>\n",
       "      <td>Socio-Ethical Consequences Convergent Technolo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>“Shi‘as Britain: The Earliest Cases (Part 1)”,...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Shi'a Muslim/Counterflows Colonialism/The East...</td>\n",
       "      <td>Shi�a Muslims UK, whether individually groups ...</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>Bashir, Shahzad Reading self Persian prose poe...</td>\n",
       "      <td>anthropology shia islam</td>\n",
       "      <td>Sufism/Persian poetry/historiography/17th cent...</td>\n",
       "      <td>Let us start thought experiment. Five hundred ...</td>\n",
       "      <td>[Let, u, start, thought, experiment, ., Five, ...</td>\n",
       "      <td>[Sufism/Persian, poetry/historiography/17th, c...</td>\n",
       "      <td>[Bashir, ,, Shahzad, Reading, self, Persian, p...</td>\n",
       "      <td>Let u start thought experiment . Five hundred ...</td>\n",
       "      <td>Sufism/Persian poetry/historiography/17th cent...</td>\n",
       "      <td>Bashir , Shahzad Reading self Persian prose po...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>Everlasting Doubt: Uncertainty Islamic Represe...</td>\n",
       "      <td>anthropology shia islam</td>\n",
       "      <td>historiography/Islamic history/Persian Arabic ...</td>\n",
       "      <td>Utilizing treatments uncertainty regarding his...</td>\n",
       "      <td>[Utilizing, treatment, uncertainty, regarding,...</td>\n",
       "      <td>[historiography/Islamic, history/Persian, Arab...</td>\n",
       "      <td>[Everlasting, Doubt, :, Uncertainty, Islamic, ...</td>\n",
       "      <td>Utilizing treatment uncertainty regarding hist...</td>\n",
       "      <td>historiography/Islamic history/Persian Arabic ...</td>\n",
       "      <td>Everlasting Doubt : Uncertainty Islamic Repres...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>The Origins Rhetorical Evolution Term Qizilbās...</td>\n",
       "      <td>anthropology shia islam</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safav...</td>\n",
       "      <td>This essay traces use term Qizilb?sh select li...</td>\n",
       "      <td>[This, essay, trace, use, term, Qizilb, ?, sh,...</td>\n",
       "      <td>[historiography/Islamic, history/qizilbash/Saf...</td>\n",
       "      <td>[The, Origins, Rhetorical, Evolution, Term, Qi...</td>\n",
       "      <td>This essay trace use term Qizilb ? sh select l...</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safav...</td>\n",
       "      <td>The Origins Rhetorical Evolution Term Qizilbās...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>Bashir, Shahzad Shah Ismaʿil Qizilbash: Cannib...</td>\n",
       "      <td>anthropology shia islam</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safav...</td>\n",
       "      <td>The first decade sixteeth century Common Era s...</td>\n",
       "      <td>[The, first, decade, sixteeth, century, Common...</td>\n",
       "      <td>[historiography/Islamic, history/qizilbash/Saf...</td>\n",
       "      <td>[Bashir, ,, Shahzad, Shah, Ismaʿil, Qizilbash,...</td>\n",
       "      <td>The first decade sixteeth century Common Era s...</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safav...</td>\n",
       "      <td>Bashir , Shahzad Shah Ismaʿil Qizilbash : Cann...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>Empirical Spirits: Islam, Spiritism, Virtues S...</td>\n",
       "      <td>anthropology shia islam</td>\n",
       "      <td>Spiritism Iran/science/religion/morality</td>\n",
       "      <td>This article examines aspects reception French...</td>\n",
       "      <td>[This, article, examines, aspect, reception, F...</td>\n",
       "      <td>[Spiritism, Iran/science/religion/morality]</td>\n",
       "      <td>[Empirical, Spirits, :, Islam, ,, Spiritism, ,...</td>\n",
       "      <td>This article examines aspect reception French ...</td>\n",
       "      <td>Spiritism Iran/science/religion/morality</td>\n",
       "      <td>Empirical Spirits : Islam , Spiritism , Virtue...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Title  \\\n",
       "8    Islam, Modernity New Millennium: Themes Critic...   \n",
       "12   Analytic Philosophy Perspective Critical Ratio...   \n",
       "15   The Misty Land Ideas Light Dialogue: An Anthol...   \n",
       "16   Socio-Ethical Consequences Convergent Technolo...   \n",
       "29   “Shi‘as Britain: The Earliest Cases (Part 1)”,...   \n",
       "..                                                 ...   \n",
       "635  Bashir, Shahzad Reading self Persian prose poe...   \n",
       "636  Everlasting Doubt: Uncertainty Islamic Represe...   \n",
       "637  The Origins Rhetorical Evolution Term Qizilbās...   \n",
       "638  Bashir, Shahzad Shah Ismaʿil Qizilbash: Cannib...   \n",
       "641  Empirical Spirits: Islam, Spiritism, Virtues S...   \n",
       "\n",
       "                    Category  \\\n",
       "8         islamic philosophy   \n",
       "12        islamic philosophy   \n",
       "15        islamic philosophy   \n",
       "16        islamic philosophy   \n",
       "29        islamic philosophy   \n",
       "..                       ...   \n",
       "635  anthropology shia islam   \n",
       "636  anthropology shia islam   \n",
       "637  anthropology shia islam   \n",
       "638  anthropology shia islam   \n",
       "641  anthropology shia islam   \n",
       "\n",
       "                                          Sub-Category  \\\n",
       "8    Religious Studies/ Islamic Studies/Philosophy ...   \n",
       "12         Analytical Philosophy/ Critical Rationalism   \n",
       "15         Islamic philosophy/ Philosophy/ Comparative   \n",
       "16   Socio- Ethical Consequences/ Converging Scienc...   \n",
       "29   Shi'a Muslim/Counterflows Colonialism/The East...   \n",
       "..                                                 ...   \n",
       "635  Sufism/Persian poetry/historiography/17th cent...   \n",
       "636  historiography/Islamic history/Persian Arabic ...   \n",
       "637  historiography/Islamic history/qizilbash/Safav...   \n",
       "638  historiography/Islamic history/qizilbash/Safav...   \n",
       "641           Spiritism Iran/science/religion/morality   \n",
       "\n",
       "                                              Abstract  \\\n",
       "8    As world becomes increasingly globalised Islam...   \n",
       "12   The present paper attempt explore impact Karl ...   \n",
       "15   Comparative philosophy, like types philosophy,...   \n",
       "16   Critical assessment social changes impact fact...   \n",
       "29   Shi�a Muslims UK, whether individually groups ...   \n",
       "..                                                 ...   \n",
       "635  Let us start thought experiment. Five hundred ...   \n",
       "636  Utilizing treatments uncertainty regarding his...   \n",
       "637  This essay traces use term Qizilb?sh select li...   \n",
       "638  The first decade sixteeth century Common Era s...   \n",
       "641  This article examines aspects reception French...   \n",
       "\n",
       "                                         AbstractToken  \\\n",
       "8    [As, world, becomes, increasingly, globalised,...   \n",
       "12   [The, present, paper, attempt, explore, impact...   \n",
       "15   [Comparative, philosophy, ,, like, type, philo...   \n",
       "16   [Critical, assessment, social, change, impact,...   \n",
       "29   [Shi�a, Muslims, UK, ,, whether, individually,...   \n",
       "..                                                 ...   \n",
       "635  [Let, u, start, thought, experiment, ., Five, ...   \n",
       "636  [Utilizing, treatment, uncertainty, regarding,...   \n",
       "637  [This, essay, trace, use, term, Qizilb, ?, sh,...   \n",
       "638  [The, first, decade, sixteeth, century, Common...   \n",
       "641  [This, article, examines, aspect, reception, F...   \n",
       "\n",
       "                                     Sub-CategoryToken  \\\n",
       "8    [Religious, Studies/, Islamic, Studies/Philoso...   \n",
       "12    [Analytical, Philosophy/, Critical, Rationalism]   \n",
       "15    [Islamic, philosophy/, Philosophy/, Comparative]   \n",
       "16   [Socio-, Ethical, Consequences/, Converging, S...   \n",
       "29   [Shi, ', a, Muslim/Counterflows, Colonialism/T...   \n",
       "..                                                 ...   \n",
       "635  [Sufism/Persian, poetry/historiography/17th, c...   \n",
       "636  [historiography/Islamic, history/Persian, Arab...   \n",
       "637  [historiography/Islamic, history/qizilbash/Saf...   \n",
       "638  [historiography/Islamic, history/qizilbash/Saf...   \n",
       "641        [Spiritism, Iran/science/religion/morality]   \n",
       "\n",
       "                                            TitleToken  \\\n",
       "8    [Islam, ,, Modernity, New, Millennium, :, Them...   \n",
       "12   [Analytic, Philosophy, Perspective, Critical, ...   \n",
       "15   [The, Misty, Land, Ideas, Light, Dialogue, :, ...   \n",
       "16   [Socio-Ethical, Consequences, Convergent, Tech...   \n",
       "29   [“, Shi, ‘, a, Britain, :, The, Earliest, Case...   \n",
       "..                                                 ...   \n",
       "635  [Bashir, ,, Shahzad, Reading, self, Persian, p...   \n",
       "636  [Everlasting, Doubt, :, Uncertainty, Islamic, ...   \n",
       "637  [The, Origins, Rhetorical, Evolution, Term, Qi...   \n",
       "638  [Bashir, ,, Shahzad, Shah, Ismaʿil, Qizilbash,...   \n",
       "641  [Empirical, Spirits, :, Islam, ,, Spiritism, ,...   \n",
       "\n",
       "                                             AbstractL  \\\n",
       "8    As world becomes increasingly globalised Islam...   \n",
       "12   The present paper attempt explore impact Karl ...   \n",
       "15   Comparative philosophy , like type philosophy ...   \n",
       "16   Critical assessment social change impact facto...   \n",
       "29   Shi�a Muslims UK , whether individually group ...   \n",
       "..                                                 ...   \n",
       "635  Let u start thought experiment . Five hundred ...   \n",
       "636  Utilizing treatment uncertainty regarding hist...   \n",
       "637  This essay trace use term Qizilb ? sh select l...   \n",
       "638  The first decade sixteeth century Common Era s...   \n",
       "641  This article examines aspect reception French ...   \n",
       "\n",
       "                                         Sub-CategoryL  \\\n",
       "8    Religious Studies/ Islamic Studies/Philosophy ...   \n",
       "12         Analytical Philosophy/ Critical Rationalism   \n",
       "15         Islamic philosophy/ Philosophy/ Comparative   \n",
       "16   Socio- Ethical Consequences/ Converging Scienc...   \n",
       "29   Shi ' a Muslim/Counterflows Colonialism/The Ea...   \n",
       "..                                                 ...   \n",
       "635  Sufism/Persian poetry/historiography/17th cent...   \n",
       "636  historiography/Islamic history/Persian Arabic ...   \n",
       "637  historiography/Islamic history/qizilbash/Safav...   \n",
       "638  historiography/Islamic history/qizilbash/Safav...   \n",
       "641           Spiritism Iran/science/religion/morality   \n",
       "\n",
       "                                                TitleL  \n",
       "8    Islam , Modernity New Millennium : Themes Crit...  \n",
       "12   Analytic Philosophy Perspective Critical Ratio...  \n",
       "15   The Misty Land Ideas Light Dialogue : An Antho...  \n",
       "16   Socio-Ethical Consequences Convergent Technolo...  \n",
       "29   “ Shi ‘ a Britain : The Earliest Cases ( Part ...  \n",
       "..                                                 ...  \n",
       "635  Bashir , Shahzad Reading self Persian prose po...  \n",
       "636  Everlasting Doubt : Uncertainty Islamic Repres...  \n",
       "637  The Origins Rhetorical Evolution Term Qizilbās...  \n",
       "638  Bashir , Shahzad Shah Ismaʿil Qizilbash : Cann...  \n",
       "641  Empirical Spirits : Islam , Spiritism , Virtue...  \n",
       "\n",
       "[198 rows x 10 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#look at all the results \n",
    "sana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4a8ceeac",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>8</th>\n",
       "      <td>Islam, Modernity New Millennium: Themes Critic...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Religious Studies/ Islamic Studies/Philosophy ...</td>\n",
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       "      <td>Islam , Modernity New Millennium : Themes Crit...</td>\n",
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       "      <th>15</th>\n",
       "      <td>The Misty Land Ideas Light Dialogue: An Anthol...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Islamic philosophy/ Philosophy/ Comparative</td>\n",
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       "      <td>Comparative philosophy , like type philosophy ...</td>\n",
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       "      <td>The Misty Land Ideas Light Dialogue : An Antho...</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Socio-Ethical Consequences Convergent Technolo...</td>\n",
       "      <td>islamic philosophy</td>\n",
       "      <td>Socio- Ethical Consequences/ Converging Scienc...</td>\n",
       "      <td>Critical assessment social changes impact fact...</td>\n",
       "      <td>Critical assessment social change impact facto...</td>\n",
       "      <td>Socio- Ethical Consequences/ Converging Scienc...</td>\n",
       "      <td>Socio-Ethical Consequences Convergent Technolo...</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>“Shi‘as Britain: The Earliest Cases (Part 1)”,...</td>\n",
       "      <td>islamic philosophy</td>\n",
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       "      <td>Shi�a Muslims UK , whether individually group ...</td>\n",
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       "      <td>“ Shi ‘ a Britain : The Earliest Cases ( Part ...</td>\n",
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       "      <td>Bashir, Shahzad Reading self Persian prose poe...</td>\n",
       "      <td>anthropology shia islam</td>\n",
       "      <td>Sufism/Persian poetry/historiography/17th cent...</td>\n",
       "      <td>Let us start thought experiment. Five hundred ...</td>\n",
       "      <td>Let u start thought experiment . Five hundred ...</td>\n",
       "      <td>Sufism/Persian poetry/historiography/17th cent...</td>\n",
       "      <td>Bashir , Shahzad Reading self Persian prose po...</td>\n",
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       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>Everlasting Doubt: Uncertainty Islamic Represe...</td>\n",
       "      <td>anthropology shia islam</td>\n",
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       "      <td>Utilizing treatments uncertainty regarding his...</td>\n",
       "      <td>Utilizing treatment uncertainty regarding hist...</td>\n",
       "      <td>historiography/Islamic history/Persian Arabic ...</td>\n",
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       "      <td>The Origins Rhetorical Evolution Term Qizilbās...</td>\n",
       "      <td>anthropology shia islam</td>\n",
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       "      <td>The Origins Rhetorical Evolution Term Qizilbās...</td>\n",
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       "      <td>anthropology shia islam</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safav...</td>\n",
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       "      <td>This article examines aspects reception French...</td>\n",
       "      <td>This article examines aspect reception French ...</td>\n",
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       "                                                 Title  \\\n",
       "8    Islam, Modernity New Millennium: Themes Critic...   \n",
       "12   Analytic Philosophy Perspective Critical Ratio...   \n",
       "15   The Misty Land Ideas Light Dialogue: An Anthol...   \n",
       "16   Socio-Ethical Consequences Convergent Technolo...   \n",
       "29   “Shi‘as Britain: The Earliest Cases (Part 1)”,...   \n",
       "..                                                 ...   \n",
       "635  Bashir, Shahzad Reading self Persian prose poe...   \n",
       "636  Everlasting Doubt: Uncertainty Islamic Represe...   \n",
       "637  The Origins Rhetorical Evolution Term Qizilbās...   \n",
       "638  Bashir, Shahzad Shah Ismaʿil Qizilbash: Cannib...   \n",
       "641  Empirical Spirits: Islam, Spiritism, Virtues S...   \n",
       "\n",
       "                    Category  \\\n",
       "8         islamic philosophy   \n",
       "12        islamic philosophy   \n",
       "15        islamic philosophy   \n",
       "16        islamic philosophy   \n",
       "29        islamic philosophy   \n",
       "..                       ...   \n",
       "635  anthropology shia islam   \n",
       "636  anthropology shia islam   \n",
       "637  anthropology shia islam   \n",
       "638  anthropology shia islam   \n",
       "641  anthropology shia islam   \n",
       "\n",
       "                                          Sub-Category  \\\n",
       "8    Religious Studies/ Islamic Studies/Philosophy ...   \n",
       "12         Analytical Philosophy/ Critical Rationalism   \n",
       "15         Islamic philosophy/ Philosophy/ Comparative   \n",
       "16   Socio- Ethical Consequences/ Converging Scienc...   \n",
       "29   Shi'a Muslim/Counterflows Colonialism/The East...   \n",
       "..                                                 ...   \n",
       "635  Sufism/Persian poetry/historiography/17th cent...   \n",
       "636  historiography/Islamic history/Persian Arabic ...   \n",
       "637  historiography/Islamic history/qizilbash/Safav...   \n",
       "638  historiography/Islamic history/qizilbash/Safav...   \n",
       "641           Spiritism Iran/science/religion/morality   \n",
       "\n",
       "                                              Abstract  \\\n",
       "8    As world becomes increasingly globalised Islam...   \n",
       "12   The present paper attempt explore impact Karl ...   \n",
       "15   Comparative philosophy, like types philosophy,...   \n",
       "16   Critical assessment social changes impact fact...   \n",
       "29   Shi�a Muslims UK, whether individually groups ...   \n",
       "..                                                 ...   \n",
       "635  Let us start thought experiment. Five hundred ...   \n",
       "636  Utilizing treatments uncertainty regarding his...   \n",
       "637  This essay traces use term Qizilb?sh select li...   \n",
       "638  The first decade sixteeth century Common Era s...   \n",
       "641  This article examines aspects reception French...   \n",
       "\n",
       "                                             AbstractL  \\\n",
       "8    As world becomes increasingly globalised Islam...   \n",
       "12   The present paper attempt explore impact Karl ...   \n",
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       "..                                                 ...       ...   \n",
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       "..                                                 ...   \n",
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       "196  historiography/Islamic history/qizilbash/Safav...   \n",
       "197           Spiritism Iran/science/religion/morality   \n",
       "\n",
       "                                              Abstract  \\\n",
       "0    As world becomes increasingly globalised Islam...   \n",
       "1    The present paper attempt explore impact Karl ...   \n",
       "2    Comparative philosophy, like types philosophy,...   \n",
       "3    Critical assessment social changes impact fact...   \n",
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       "..                                                 ...   \n",
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       "195  This essay traces use term Qizilb?sh select li...   \n",
       "196  The first decade sixteeth century Common Era s...   \n",
       "197  This article examines aspects reception French...   \n",
       "\n",
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       "2    Comparative philosophy , like type philosophy ...   \n",
       "3    Critical assessment social change impact facto...   \n",
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       "..                                                 ...   \n",
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       "\n",
       "                                                TitleL  \n",
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       "..                                                 ...  \n",
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       "      <td>Islam, Modernity New Millennium: Themes Critical Rationalist Reading Islam, London &amp; New York: Routledge, 2018.</td>\n",
       "      <td>1</td>\n",
       "      <td>Religious Studies/ Islamic Studies/Philosophy Religion/Karl Popper’s theory critical rationalism</td>\n",
       "      <td>As world becomes increasingly globalised Islam faces important choices. Does seek \"modernise\" line cultures practised, retain traditions even odds surrounding society? This book utilizes critical rationalist viewpoint illuminate many hotly contended issues modern Islam, offer fresh analysis. A variety issues within Islam discussed book including, Muslims modernity; Islam, Christianity Judaism; approaches understanding Quran; Muslim identity civil society; doctrinal certainty violent radicalism. In case, author makes use Karl Popper�s theory critical rationalism uncover new aspects issues challenge post-modern, relativist, literalist justificationist readings Islam.This unique perspective contemporary Islam significant interest scholars Religious Studies, Islamic Studies Philosophy Religion.</td>\n",
       "      <td>As world becomes increasingly globalised Islam face important choice . Does seek `` modernise '' line culture practised , retain tradition even odds surrounding society ? This book utilizes critical rationalist viewpoint illuminate many hotly contended issue modern Islam , offer fresh analysis . A variety issue within Islam discussed book including , Muslims modernity ; Islam , Christianity Judaism ; approach understanding Quran ; Muslim identity civil society ; doctrinal certainty violent radicalism . In case , author make use Karl Popper�s theory critical rationalism uncover new aspect issue challenge post-modern , relativist , literalist justificationist reading Islam.This unique perspective contemporary Islam significant interest scholar Religious Studies , Islamic Studies Philosophy Religion .</td>\n",
       "      <td>Religious Studies/ Islamic Studies/Philosophy Religion/Karl Popper ’ s theory critical rationalism</td>\n",
       "      <td>Islam , Modernity New Millennium : Themes Critical Rationalist Reading Islam , London &amp; New York : Routledge , 2018 .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Analytic Philosophy Perspective Critical Rationalism, Tehran: Tarh-e Naqd Publications, 2016. Habermas Iranian Intellectuals (with Mohammad Amin Ghaneirad), Tehran: Tarhe Naqd, 2016.</td>\n",
       "      <td>1</td>\n",
       "      <td>Analytical Philosophy/ Critical Rationalism</td>\n",
       "      <td>The present paper attempt explore impact Karl Popper�s ideas views number intellectual groups post?revolutionary Iran. Throughout text, tried make use original sources personal experiences. The upshot arguments paper Viennese philosopher made long?lasting impression intellectual scene present?day Iran even socio?political groups favour ideas, especially model critical rationalism, felt urgent need make familiar them. Moreover, many Popper�s ideas directly indirectly influenced thinking decision?makers Iran since 1978.</td>\n",
       "      <td>The present paper attempt explore impact Karl Popper�s idea view number intellectual group post ? revolutionary Iran . Throughout text , tried make use original source personal experience . The upshot argument paper Viennese philosopher made long ? lasting impression intellectual scene present ? day Iran even socio ? political group favour idea , especially model critical rationalism , felt urgent need make familiar them . Moreover , many Popper�s idea directly indirectly influenced thinking decision ? maker Iran since 1978 .</td>\n",
       "      <td>Analytical Philosophy/ Critical Rationalism</td>\n",
       "      <td>Analytic Philosophy Perspective Critical Rationalism , Tehran : Tarh-e Naqd Publications , 2016 . Habermas Iranian Intellectuals ( with Mohammad Amin Ghaneirad ) , Tehran : Tarhe Naqd , 2016 .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Misty Land Ideas Light Dialogue: An Anthology Comparative Philosophy- Western &amp; Islamic, edited by, Ali Paya, London: ICAS Press, 2014, second edition. Iraq, Democracy, Future Muslim World, edited Ali Paya &amp; John Esposito, London &amp; New York: Routledge, 2012.</td>\n",
       "      <td>1</td>\n",
       "      <td>Islamic philosophy/ Philosophy/ Comparative</td>\n",
       "      <td>Comparative philosophy, like types philosophy, sort dialogue among philosophers. But whereas dialogue among philosophers traditional branches philosophy usually form duologue, comparative philosophy three interlocutors involved. Participants dialogue type common comparative philosophy need contemporaneous. Nor need speak language belong tradition. Of three interlocutors dialogue type relevant comparative philosophy, one plays role go-between among two true practitioner �comparative philosophy� or, coin term, true �comparative philosopher�, i.e, one actually engaged process comparing philosophies reflecting upon finesse art comparison views.</td>\n",
       "      <td>Comparative philosophy , like type philosophy , sort dialogue among philosopher . But whereas dialogue among philosopher traditional branch philosophy usually form duologue , comparative philosophy three interlocutor involved . Participants dialogue type common comparative philosophy need contemporaneous . Nor need speak language belong tradition . Of three interlocutor dialogue type relevant comparative philosophy , one play role go-between among two true practitioner �comparative philosophy� or , coin term , true �comparative philosopher� , i.e , one actually engaged process comparing philosophy reflecting upon finesse art comparison view .</td>\n",
       "      <td>Islamic philosophy/ Philosophy/ Comparative</td>\n",
       "      <td>The Misty Land Ideas Light Dialogue : An Anthology Comparative Philosophy- Western &amp; Islamic , edited by , Ali Paya , London : ICAS Press , 2014 , second edition . Iraq , Democracy , Future Muslim World , edited Ali Paya &amp; John Esposito , London &amp; New York : Routledge , 2012 .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Socio-Ethical Consequences Convergent Technologies (with R. Kalantarinezhad), Tehran: National Research Institute Science Policy, Summer 2011.</td>\n",
       "      <td>1</td>\n",
       "      <td>Socio- Ethical Consequences/ Converging Sciences Technologies/ Fourth Wave Scientific Technological Development/ Nano/ Bio/ Info/ Cogno/ Culture/Human Dignity/</td>\n",
       "      <td>Critical assessment social changes impact factors which, mutual interactions, shape outlooks ways life people societies among major concerns contemporary philosophers would like use theoretical knowledge tackle applied problems. In present paper try assess, philosophical critical point view based Critical Rationalism, socio-cultural impacts wide-ranging changes caused due unprecedented developments converging sciences &amp; technologies. The first part paper deals brief introduction notion fourth wave scientific technologies development due developments following four fields: Nano, Bio, Info, Cogno (NBIC). In second part paper discuss important socio-cultural consequences developments NBIC sciences technologies. The main aim philosophical investigation consider options open modern man vis-�-vis new developments sciences technologies. In last part paper policy recommendations regard issues discussed introduced. It hoped proposed recommendations prove useful policy-makers Iran.</td>\n",
       "      <td>Critical assessment social change impact factor which , mutual interaction , shape outlook way life people society among major concern contemporary philosopher would like use theoretical knowledge tackle applied problem . In present paper try ass , philosophical critical point view based Critical Rationalism , socio-cultural impact wide-ranging change caused due unprecedented development converging science &amp; technology . The first part paper deal brief introduction notion fourth wave scientific technology development due development following four field : Nano , Bio , Info , Cogno ( NBIC ) . In second part paper discus important socio-cultural consequence development NBIC science technology . The main aim philosophical investigation consider option open modern man vis-�-vis new development science technology . In last part paper policy recommendation regard issue discussed introduced . It hoped proposed recommendation prove useful policy-makers Iran .</td>\n",
       "      <td>Socio- Ethical Consequences/ Converging Sciences Technologies/ Fourth Wave Scientific Technological Development/ Nano/ Bio/ Info/ Cogno/ Culture/Human Dignity/</td>\n",
       "      <td>Socio-Ethical Consequences Convergent Technologies ( with R. Kalantarinezhad ) , Tehran : National Research Institute Science Policy , Summer 2011 .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>“Shi‘as Britain: The Earliest Cases (Part 1)”, Journal Shi‘a Islamic Studies, Summer 2017 Volume X, Number 3 (Joint Paper Dr Isa Jahangir). N.B. issue latest issue JSIS due Journal’s backlog published October 2019.</td>\n",
       "      <td>1</td>\n",
       "      <td>Shi'a Muslim/Counterflows Colonialism/The East India Company/Early Shi'a travelogues/The Orient Occident/Modernity/Dialogue among civilizations</td>\n",
       "      <td>Shi�a Muslims UK, whether individually groups communities, played active roles various aspects life (religious, cultural, academic, social, political economic) Britain since earliest time settled England. Nevertheless, scholarly monograph academic book dedicated legacy Shi�as Britain, also accounts, save exceptions, cannot even found either anthologies Muslims Britain scholarly articles academic journals specialise Islamic Middle Eastern Studies. The present paper, outcome small part larger project, discusses cases first Shi�a Muslims came Britain either limited period time chose live isles rest lives. The larger project, referred above, aims filling gap facts Shi�a Muslims� contributions achievements UK documented accounts activities. In paper, first present brief account aims objectives larger project mentioned report progress far turning critical discussion experiences first known Shi�a Muslim travellers England encountered culture civilisation different own. The aim recounting experiences early travellers East to, among things, critically explore ways viewed phenomenon modernity West reacted it.</td>\n",
       "      <td>Shi�a Muslims UK , whether individually group community , played active role various aspect life ( religious , cultural , academic , social , political economic ) Britain since earliest time settled England . Nevertheless , scholarly monograph academic book dedicated legacy Shi�as Britain , also account , save exception , can not even found either anthology Muslims Britain scholarly article academic journal specialise Islamic Middle Eastern Studies . The present paper , outcome small part larger project , discus case first Shi�a Muslims came Britain either limited period time chose live isle rest life . The larger project , referred above , aim filling gap fact Shi�a Muslims� contribution achievement UK documented account activity . In paper , first present brief account aim objective larger project mentioned report progress far turning critical discussion experience first known Shi�a Muslim traveller England encountered culture civilisation different own . The aim recounting experience early traveller East to , among thing , critically explore way viewed phenomenon modernity West reacted it .</td>\n",
       "      <td>Shi ' a Muslim/Counterflows Colonialism/The East India Company/Early Shi ' a travelogues/The Orient Occident/Modernity/Dialogue among civilization</td>\n",
       "      <td>“ Shi ‘ a Britain : The Earliest Cases ( Part 1 ) ” , Journal Shi ‘ a Islamic Studies , Summer 2017 Volume X , Number 3 ( Joint Paper Dr Isa Jahangir ) . N.B . issue latest issue JSIS due Journal ’ s backlog published October 2019 .</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Bashir, Shahzad Reading self Persian prose poetry. Religious Individualisation/Religious Individualisation. 2019; : 443-458.</td>\n",
       "      <td>0</td>\n",
       "      <td>Sufism/Persian poetry/historiography/17th century CE/</td>\n",
       "      <td>Let us start thought experiment. Five hundred years now, I long dead forgotten, reader comes across essay writings I published. How would reader understand referent asso-ciated use word �I� documents? Would justified claiming know human subject based read words invoke grammatical first-person pronoun? I suspect not, despite sense inti-macy usage intends. But lack direct knowledge would due neither insincere use pronoun part fault reading. The complication �I� invoked academic publications genre-bound evocation. In using it, I taking posture allowed conventions aca-demic writing practised today. This �I� tempered relationship full human subjectivity. It cannot bear burdens uses pronoun conventional speech, I talk family member, address shopkeeper, struggle make understood someone know English. The word �I� quasi-homonym refer variant, although often interconnected, parts existence world.</td>\n",
       "      <td>Let u start thought experiment . Five hundred year now , I long dead forgotten , reader come across essay writing I published . How would reader understand referent asso-ciated use word �I� document ? Would justified claiming know human subject based read word invoke grammatical first-person pronoun ? I suspect not , despite sense inti-macy usage intends . But lack direct knowledge would due neither insincere use pronoun part fault reading . The complication �I� invoked academic publication genre-bound evocation . In using it , I taking posture allowed convention aca-demic writing practised today . This �I� tempered relationship full human subjectivity . It can not bear burden us pronoun conventional speech , I talk family member , address shopkeeper , struggle make understood someone know English . The word �I� quasi-homonym refer variant , although often interconnected , part existence world .</td>\n",
       "      <td>Sufism/Persian poetry/historiography/17th century CE/</td>\n",
       "      <td>Bashir , Shahzad Reading self Persian prose poetry . Religious Individualisation/Religious Individualisation . 2019 ; : 443-458 .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>Everlasting Doubt: Uncertainty Islamic Representations Past. Archiv für Religionsgeschichte/Archiv für Religionsgeschichte. 2018; 20 (1) : 25-44.</td>\n",
       "      <td>0</td>\n",
       "      <td>historiography/Islamic history/Persian Arabic worjs/Tabari/Biruni/Bada'uni/Abu l-Fazl</td>\n",
       "      <td>Utilizing treatments uncertainty regarding history four major Arabic Persian works (?abar?, B?r?n?, Bad???n?, Ab? l-Fa?l), article treats Islam ever-changing set arguments rather panoply beliefs practices. �Islamic history� internally varied, without necessary universality internal cohesion. The Islamic case underscores methodological point interrelationship religion history multichannel multidirectional affair whose valences differ treatments history Islam versus Christianity, Hinduism, Buddhism, on. Each histories distinctive history subject, attendant fields possibility impossibility. An overarching history religions must vast, ever-expanding matrix reducible generalizations except thematic treatments conceptualized self-conscious attention categories analysis.</td>\n",
       "      <td>Utilizing treatment uncertainty regarding history four major Arabic Persian work ( ? abar ? , B ? r ? n ? , Bad ? ? ? n ? , Ab ? l-Fa ? l ) , article treat Islam ever-changing set argument rather panoply belief practice . �Islamic history� internally varied , without necessary universality internal cohesion . The Islamic case underscore methodological point interrelationship religion history multichannel multidirectional affair whose valence differ treatment history Islam versus Christianity , Hinduism , Buddhism , on . Each history distinctive history subject , attendant field possibility impossibility . An overarching history religion must vast , ever-expanding matrix reducible generalization except thematic treatment conceptualized self-conscious attention category analysis .</td>\n",
       "      <td>historiography/Islamic history/Persian Arabic worjs/Tabari/Biruni/Bada'uni/Abu l-Fazl</td>\n",
       "      <td>Everlasting Doubt : Uncertainty Islamic Representations Past . Archiv für Religionsgeschichte/Archiv für Religionsgeschichte . 2018 ; 20 ( 1 ) : 25-44 .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>The Origins Rhetorical Evolution Term Qizilbāsh Persianate Literature. Journal Economic Social History Orient/Journal Economic Social History Orient. 2014; 57 (3) : 364-391.</td>\n",
       "      <td>0</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safavid dynasty/Persianate literature</td>\n",
       "      <td>This essay traces use term Qizilb?sh select literature Persian produced approximate period 1490-1700. The survey indicates term became standard name given devotee-soldiers ?afavid dynasty gradually sixteenth century. Moreover, term acquired symbolic meanings direct connection time Shaykh ?aydar (d. 1488) Sh?h Ism???l (d. 1524) seventeenth century. The material presented argues reading Persian chronicles sources careful attention rhetorical qualities contexts produced.</td>\n",
       "      <td>This essay trace use term Qizilb ? sh select literature Persian produced approximate period 1490-1700 . The survey indicates term became standard name given devotee-soldiers ? afavid dynasty gradually sixteenth century . Moreover , term acquired symbolic meaning direct connection time Shaykh ? aydar ( d. 1488 ) Sh ? h Ism ? ? ? l ( d. 1524 ) seventeenth century . The material presented argues reading Persian chronicle source careful attention rhetorical quality context produced .</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safavid dynasty/Persianate literature</td>\n",
       "      <td>The Origins Rhetorical Evolution Term Qizilbāsh Persianate Literature . Journal Economic Social History Orient/Journal Economic Social History Orient . 2014 ; 57 ( 3 ) : 364-391 .</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>Bashir, Shahzad Shah Ismaʿil Qizilbash: Cannibalism Religious History Early Safavid Iran. History Religions/History Religions. 2006; 45 (3) : 234-256</td>\n",
       "      <td>0</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safavid dynasty/Shah Isma'il</td>\n",
       "      <td>The first decade sixteeth century Common Era saw tise Safavids, Iranian dynasty lasted two centuries. In year 1501, Ismail, sixth hereditary successor prominent Sufi master Shaykh Safi al-Din Ardabil (d. 1334), took control city Tabriz proclaimed king. Ismail fourteen time, extraordinary feat accomplished support intensely loyal soliders called Qizilbash, held great esteem.</td>\n",
       "      <td>The first decade sixteeth century Common Era saw tise Safavids , Iranian dynasty lasted two century . In year 1501 , Ismail , sixth hereditary successor prominent Sufi master Shaykh Safi al-Din Ardabil ( d. 1334 ) , took control city Tabriz proclaimed king . Ismail fourteen time , extraordinary feat accomplished support intensely loyal soliders called Qizilbash , held great esteem .</td>\n",
       "      <td>historiography/Islamic history/qizilbash/Safavid dynasty/Shah Isma'il</td>\n",
       "      <td>Bashir , Shahzad Shah Ismaʿil Qizilbash : Cannibalism Religious History Early Safavid Iran . History Religions/History Religions . 2006 ; 45 ( 3 ) : 234-256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Empirical Spirits: Islam, Spiritism, Virtues Science Iran Comparative Studies Society History, 58(2): 322-49</td>\n",
       "      <td>0</td>\n",
       "      <td>Spiritism Iran/science/religion/morality</td>\n",
       "      <td>This article examines aspects reception French Spiritism psychical research twentieth century Iran: promotion Iranian modernist intellectuals Second World War, appropriation Shi�i Muslim �ulama 1940s 1960s. Spiritism appealed intellectuals scholars sought reconcile commitments science religious longings dedication moral reform. In comparing encounters spirit communication, I show adoption putatively scientific claims contexts professional scientists usually disavow much strategic appropriation attempts justify preexisting doctrines. They also allow us understand science's power mold moral subjectivities reformers selective absorption long-continuous traditions virtue.</td>\n",
       "      <td>This article examines aspect reception French Spiritism psychical research twentieth century Iran : promotion Iranian modernist intellectual Second World War , appropriation Shi�i Muslim �ulama 1940s 1960s . Spiritism appealed intellectual scholar sought reconcile commitment science religious longing dedication moral reform . In comparing encounter spirit communication , I show adoption putatively scientific claim context professional scientist usually disavow much strategic appropriation attempt justify preexisting doctrine . They also allow u understand science 's power mold moral subjectivity reformer selective absorption long-continuous tradition virtue .</td>\n",
       "      <td>Spiritism Iran/science/religion/morality</td>\n",
       "      <td>Empirical Spirits : Islam , Spiritism , Virtues Science Iran Comparative Studies Society History , 58 ( 2 ) : 322-49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                                                                                                                                      Title  \\\n",
       "0                                                                                                                                                           Islam, Modernity New Millennium: Themes Critical Rationalist Reading Islam, London & New York: Routledge, 2018.   \n",
       "1                                                                                    Analytic Philosophy Perspective Critical Rationalism, Tehran: Tarh-e Naqd Publications, 2016. Habermas Iranian Intellectuals (with Mohammad Amin Ghaneirad), Tehran: Tarhe Naqd, 2016.   \n",
       "2    The Misty Land Ideas Light Dialogue: An Anthology Comparative Philosophy- Western & Islamic, edited by, Ali Paya, London: ICAS Press, 2014, second edition. Iraq, Democracy, Future Muslim World, edited Ali Paya & John Esposito, London & New York: Routledge, 2012.   \n",
       "3                                                                                                                            Socio-Ethical Consequences Convergent Technologies (with R. Kalantarinezhad), Tehran: National Research Institute Science Policy, Summer 2011.   \n",
       "4                                                    “Shi‘as Britain: The Earliest Cases (Part 1)”, Journal Shi‘a Islamic Studies, Summer 2017 Volume X, Number 3 (Joint Paper Dr Isa Jahangir). N.B. issue latest issue JSIS due Journal’s backlog published October 2019.   \n",
       "..                                                                                                                                                                                                                                                                      ...   \n",
       "193                                                                                                                                            Bashir, Shahzad Reading self Persian prose poetry. Religious Individualisation/Religious Individualisation. 2019; : 443-458.   \n",
       "194                                                                                                                       Everlasting Doubt: Uncertainty Islamic Representations Past. Archiv für Religionsgeschichte/Archiv für Religionsgeschichte. 2018; 20 (1) : 25-44.   \n",
       "195                                                                                           The Origins Rhetorical Evolution Term Qizilbāsh Persianate Literature. Journal Economic Social History Orient/Journal Economic Social History Orient. 2014; 57 (3) : 364-391.   \n",
       "196                                                                                                                   Bashir, Shahzad Shah Ismaʿil Qizilbash: Cannibalism Religious History Early Safavid Iran. History Religions/History Religions. 2006; 45 (3) : 234-256   \n",
       "197                                                                                                                                                            Empirical Spirits: Islam, Spiritism, Virtues Science Iran Comparative Studies Society History, 58(2): 322-49   \n",
       "\n",
       "     Category  \\\n",
       "0           1   \n",
       "1           1   \n",
       "2           1   \n",
       "3           1   \n",
       "4           1   \n",
       "..        ...   \n",
       "193         0   \n",
       "194         0   \n",
       "195         0   \n",
       "196         0   \n",
       "197         0   \n",
       "\n",
       "                                                                                                                                                        Sub-Category  \\\n",
       "0                                                                   Religious Studies/ Islamic Studies/Philosophy Religion/Karl Popper’s theory critical rationalism   \n",
       "1                                                                                                                        Analytical Philosophy/ Critical Rationalism   \n",
       "2                                                                                                                        Islamic philosophy/ Philosophy/ Comparative   \n",
       "3    Socio- Ethical Consequences/ Converging Sciences Technologies/ Fourth Wave Scientific Technological Development/ Nano/ Bio/ Info/ Cogno/ Culture/Human Dignity/   \n",
       "4                    Shi'a Muslim/Counterflows Colonialism/The East India Company/Early Shi'a travelogues/The Orient Occident/Modernity/Dialogue among civilizations   \n",
       "..                                                                                                                                                               ...   \n",
       "193                                                                                                            Sufism/Persian poetry/historiography/17th century CE/   \n",
       "194                                                                            historiography/Islamic history/Persian Arabic worjs/Tabari/Biruni/Bada'uni/Abu l-Fazl   \n",
       "195                                                                                   historiography/Islamic history/qizilbash/Safavid dynasty/Persianate literature   \n",
       "196                                                                                            historiography/Islamic history/qizilbash/Safavid dynasty/Shah Isma'il   \n",
       "197                                                                                                                         Spiritism Iran/science/religion/morality   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         Abstract  \\\n",
       "0                                                                                                                                                                                                                                                                                                                               As world becomes increasingly globalised Islam faces important choices. Does seek \"modernise\" line cultures practised, retain traditions even odds surrounding society? This book utilizes critical rationalist viewpoint illuminate many hotly contended issues modern Islam, offer fresh analysis. A variety issues within Islam discussed book including, Muslims modernity; Islam, Christianity Judaism; approaches understanding Quran; Muslim identity civil society; doctrinal certainty violent radicalism. In case, author makes use Karl Popper�s theory critical rationalism uncover new aspects issues challenge post-modern, relativist, literalist justificationist readings Islam.This unique perspective contemporary Islam significant interest scholars Religious Studies, Islamic Studies Philosophy Religion.   \n",
       "1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     The present paper attempt explore impact Karl Popper�s ideas views number intellectual groups post?revolutionary Iran. Throughout text, tried make use original sources personal experiences. The upshot arguments paper Viennese philosopher made long?lasting impression intellectual scene present?day Iran even socio?political groups favour ideas, especially model critical rationalism, felt urgent need make familiar them. Moreover, many Popper�s ideas directly indirectly influenced thinking decision?makers Iran since 1978.   \n",
       "2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        Comparative philosophy, like types philosophy, sort dialogue among philosophers. But whereas dialogue among philosophers traditional branches philosophy usually form duologue, comparative philosophy three interlocutors involved. Participants dialogue type common comparative philosophy need contemporaneous. Nor need speak language belong tradition. Of three interlocutors dialogue type relevant comparative philosophy, one plays role go-between among two true practitioner �comparative philosophy� or, coin term, true �comparative philosopher�, i.e, one actually engaged process comparing philosophies reflecting upon finesse art comparison views.   \n",
       "3                                                                                                                                      Critical assessment social changes impact factors which, mutual interactions, shape outlooks ways life people societies among major concerns contemporary philosophers would like use theoretical knowledge tackle applied problems. In present paper try assess, philosophical critical point view based Critical Rationalism, socio-cultural impacts wide-ranging changes caused due unprecedented developments converging sciences & technologies. The first part paper deals brief introduction notion fourth wave scientific technologies development due developments following four fields: Nano, Bio, Info, Cogno (NBIC). In second part paper discuss important socio-cultural consequences developments NBIC sciences technologies. The main aim philosophical investigation consider options open modern man vis-�-vis new developments sciences technologies. In last part paper policy recommendations regard issues discussed introduced. It hoped proposed recommendations prove useful policy-makers Iran.   \n",
       "4    Shi�a Muslims UK, whether individually groups communities, played active roles various aspects life (religious, cultural, academic, social, political economic) Britain since earliest time settled England. Nevertheless, scholarly monograph academic book dedicated legacy Shi�as Britain, also accounts, save exceptions, cannot even found either anthologies Muslims Britain scholarly articles academic journals specialise Islamic Middle Eastern Studies. The present paper, outcome small part larger project, discusses cases first Shi�a Muslims came Britain either limited period time chose live isles rest lives. The larger project, referred above, aims filling gap facts Shi�a Muslims� contributions achievements UK documented accounts activities. In paper, first present brief account aims objectives larger project mentioned report progress far turning critical discussion experiences first known Shi�a Muslim travellers England encountered culture civilisation different own. The aim recounting experiences early travellers East to, among things, critically explore ways viewed phenomenon modernity West reacted it.   \n",
       "..                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            ...   \n",
       "193                                                                                                                                                                                                                           Let us start thought experiment. Five hundred years now, I long dead forgotten, reader comes across essay writings I published. How would reader understand referent asso-ciated use word �I� documents? Would justified claiming know human subject based read words invoke grammatical first-person pronoun? I suspect not, despite sense inti-macy usage intends. But lack direct knowledge would due neither insincere use pronoun part fault reading. The complication �I� invoked academic publications genre-bound evocation. In using it, I taking posture allowed conventions aca-demic writing practised today. This �I� tempered relationship full human subjectivity. It cannot bear burdens uses pronoun conventional speech, I talk family member, address shopkeeper, struggle make understood someone know English. The word �I� quasi-homonym refer variant, although often interconnected, parts existence world.   \n",
       "194                                                                                                                                                                                                                                                                                                                                                        Utilizing treatments uncertainty regarding history four major Arabic Persian works (?abar?, B?r?n?, Bad???n?, Ab? l-Fa?l), article treats Islam ever-changing set arguments rather panoply beliefs practices. �Islamic history� internally varied, without necessary universality internal cohesion. The Islamic case underscores methodological point interrelationship religion history multichannel multidirectional affair whose valences differ treatments history Islam versus Christianity, Hinduism, Buddhism, on. Each histories distinctive history subject, attendant fields possibility impossibility. An overarching history religions must vast, ever-expanding matrix reducible generalizations except thematic treatments conceptualized self-conscious attention categories analysis.   \n",
       "195                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      This essay traces use term Qizilb?sh select literature Persian produced approximate period 1490-1700. The survey indicates term became standard name given devotee-soldiers ?afavid dynasty gradually sixteenth century. Moreover, term acquired symbolic meanings direct connection time Shaykh ?aydar (d. 1488) Sh?h Ism???l (d. 1524) seventeenth century. The material presented argues reading Persian chronicles sources careful attention rhetorical qualities contexts produced.   \n",
       "196                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      The first decade sixteeth century Common Era saw tise Safavids, Iranian dynasty lasted two centuries. In year 1501, Ismail, sixth hereditary successor prominent Sufi master Shaykh Safi al-Din Ardabil (d. 1334), took control city Tabriz proclaimed king. Ismail fourteen time, extraordinary feat accomplished support intensely loyal soliders called Qizilbash, held great esteem.   \n",
       "197                                                                                                                                                                                                                                                                                                                                                                                                                                                          This article examines aspects reception French Spiritism psychical research twentieth century Iran: promotion Iranian modernist intellectuals Second World War, appropriation Shi�i Muslim �ulama 1940s 1960s. Spiritism appealed intellectuals scholars sought reconcile commitments science religious longings dedication moral reform. In comparing encounters spirit communication, I show adoption putatively scientific claims contexts professional scientists usually disavow much strategic appropriation attempts justify preexisting doctrines. They also allow us understand science's power mold moral subjectivities reformers selective absorption long-continuous traditions virtue.   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  AbstractL  \\\n",
       "0                                                                                                                                                                                                                                                                                                                 As world becomes increasingly globalised Islam face important choice . Does seek `` modernise '' line culture practised , retain tradition even odds surrounding society ? This book utilizes critical rationalist viewpoint illuminate many hotly contended issue modern Islam , offer fresh analysis . A variety issue within Islam discussed book including , Muslims modernity ; Islam , Christianity Judaism ; approach understanding Quran ; Muslim identity civil society ; doctrinal certainty violent radicalism . In case , author make use Karl Popper�s theory critical rationalism uncover new aspect issue challenge post-modern , relativist , literalist justificationist reading Islam.This unique perspective contemporary Islam significant interest scholar Religious Studies , Islamic Studies Philosophy Religion .   \n",
       "1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       The present paper attempt explore impact Karl Popper�s idea view number intellectual group post ? revolutionary Iran . Throughout text , tried make use original source personal experience . The upshot argument paper Viennese philosopher made long ? lasting impression intellectual scene present ? day Iran even socio ? political group favour idea , especially model critical rationalism , felt urgent need make familiar them . Moreover , many Popper�s idea directly indirectly influenced thinking decision ? maker Iran since 1978 .   \n",
       "2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                Comparative philosophy , like type philosophy , sort dialogue among philosopher . But whereas dialogue among philosopher traditional branch philosophy usually form duologue , comparative philosophy three interlocutor involved . Participants dialogue type common comparative philosophy need contemporaneous . Nor need speak language belong tradition . Of three interlocutor dialogue type relevant comparative philosophy , one play role go-between among two true practitioner �comparative philosophy� or , coin term , true �comparative philosopher� , i.e , one actually engaged process comparing philosophy reflecting upon finesse art comparison view .   \n",
       "3                                                                                                                                                     Critical assessment social change impact factor which , mutual interaction , shape outlook way life people society among major concern contemporary philosopher would like use theoretical knowledge tackle applied problem . In present paper try ass , philosophical critical point view based Critical Rationalism , socio-cultural impact wide-ranging change caused due unprecedented development converging science & technology . The first part paper deal brief introduction notion fourth wave scientific technology development due development following four field : Nano , Bio , Info , Cogno ( NBIC ) . In second part paper discus important socio-cultural consequence development NBIC science technology . The main aim philosophical investigation consider option open modern man vis-�-vis new development science technology . In last part paper policy recommendation regard issue discussed introduced . It hoped proposed recommendation prove useful policy-makers Iran .   \n",
       "4    Shi�a Muslims UK , whether individually group community , played active role various aspect life ( religious , cultural , academic , social , political economic ) Britain since earliest time settled England . Nevertheless , scholarly monograph academic book dedicated legacy Shi�as Britain , also account , save exception , can not even found either anthology Muslims Britain scholarly article academic journal specialise Islamic Middle Eastern Studies . The present paper , outcome small part larger project , discus case first Shi�a Muslims came Britain either limited period time chose live isle rest life . The larger project , referred above , aim filling gap fact Shi�a Muslims� contribution achievement UK documented account activity . In paper , first present brief account aim objective larger project mentioned report progress far turning critical discussion experience first known Shi�a Muslim traveller England encountered culture civilisation different own . The aim recounting experience early traveller East to , among thing , critically explore way viewed phenomenon modernity West reacted it .   \n",
       "..                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      ...   \n",
       "193                                                                                                                                                                                                            Let u start thought experiment . Five hundred year now , I long dead forgotten , reader come across essay writing I published . How would reader understand referent asso-ciated use word �I� document ? Would justified claiming know human subject based read word invoke grammatical first-person pronoun ? I suspect not , despite sense inti-macy usage intends . But lack direct knowledge would due neither insincere use pronoun part fault reading . The complication �I� invoked academic publication genre-bound evocation . In using it , I taking posture allowed convention aca-demic writing practised today . This �I� tempered relationship full human subjectivity . It can not bear burden us pronoun conventional speech , I talk family member , address shopkeeper , struggle make understood someone know English . The word �I� quasi-homonym refer variant , although often interconnected , part existence world .   \n",
       "194                                                                                                                                                                                                                                                                                                                                   Utilizing treatment uncertainty regarding history four major Arabic Persian work ( ? abar ? , B ? r ? n ? , Bad ? ? ? n ? , Ab ? l-Fa ? l ) , article treat Islam ever-changing set argument rather panoply belief practice . �Islamic history� internally varied , without necessary universality internal cohesion . The Islamic case underscore methodological point interrelationship religion history multichannel multidirectional affair whose valence differ treatment history Islam versus Christianity , Hinduism , Buddhism , on . Each history distinctive history subject , attendant field possibility impossibility . An overarching history religion must vast , ever-expanding matrix reducible generalization except thematic treatment conceptualized self-conscious attention category analysis .   \n",
       "195                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    This essay trace use term Qizilb ? sh select literature Persian produced approximate period 1490-1700 . The survey indicates term became standard name given devotee-soldiers ? afavid dynasty gradually sixteenth century . Moreover , term acquired symbolic meaning direct connection time Shaykh ? aydar ( d. 1488 ) Sh ? h Ism ? ? ? l ( d. 1524 ) seventeenth century . The material presented argues reading Persian chronicle source careful attention rhetorical quality context produced .   \n",
       "196                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       The first decade sixteeth century Common Era saw tise Safavids , Iranian dynasty lasted two century . In year 1501 , Ismail , sixth hereditary successor prominent Sufi master Shaykh Safi al-Din Ardabil ( d. 1334 ) , took control city Tabriz proclaimed king . Ismail fourteen time , extraordinary feat accomplished support intensely loyal soliders called Qizilbash , held great esteem .   \n",
       "197                                                                                                                                                                                                                                                                                                                                                                                                                                                             This article examines aspect reception French Spiritism psychical research twentieth century Iran : promotion Iranian modernist intellectual Second World War , appropriation Shi�i Muslim �ulama 1940s 1960s . Spiritism appealed intellectual scholar sought reconcile commitment science religious longing dedication moral reform . In comparing encounter spirit communication , I show adoption putatively scientific claim context professional scientist usually disavow much strategic appropriation attempt justify preexisting doctrine . They also allow u understand science 's power mold moral subjectivity reformer selective absorption long-continuous tradition virtue .   \n",
       "\n",
       "                                                                                                                                                       Sub-CategoryL  \\\n",
       "0                                                                 Religious Studies/ Islamic Studies/Philosophy Religion/Karl Popper ’ s theory critical rationalism   \n",
       "1                                                                                                                        Analytical Philosophy/ Critical Rationalism   \n",
       "2                                                                                                                        Islamic philosophy/ Philosophy/ Comparative   \n",
       "3    Socio- Ethical Consequences/ Converging Sciences Technologies/ Fourth Wave Scientific Technological Development/ Nano/ Bio/ Info/ Cogno/ Culture/Human Dignity/   \n",
       "4                 Shi ' a Muslim/Counterflows Colonialism/The East India Company/Early Shi ' a travelogues/The Orient Occident/Modernity/Dialogue among civilization   \n",
       "..                                                                                                                                                               ...   \n",
       "193                                                                                                            Sufism/Persian poetry/historiography/17th century CE/   \n",
       "194                                                                            historiography/Islamic history/Persian Arabic worjs/Tabari/Biruni/Bada'uni/Abu l-Fazl   \n",
       "195                                                                                   historiography/Islamic history/qizilbash/Safavid dynasty/Persianate literature   \n",
       "196                                                                                            historiography/Islamic history/qizilbash/Safavid dynasty/Shah Isma'il   \n",
       "197                                                                                                                         Spiritism Iran/science/religion/morality   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                    TitleL  \n",
       "0                                                                                                                                                                    Islam , Modernity New Millennium : Themes Critical Rationalist Reading Islam , London & New York : Routledge , 2018 .  \n",
       "1                                                                                         Analytic Philosophy Perspective Critical Rationalism , Tehran : Tarh-e Naqd Publications , 2016 . Habermas Iranian Intellectuals ( with Mohammad Amin Ghaneirad ) , Tehran : Tarhe Naqd , 2016 .  \n",
       "2    The Misty Land Ideas Light Dialogue : An Anthology Comparative Philosophy- Western & Islamic , edited by , Ali Paya , London : ICAS Press , 2014 , second edition . Iraq , Democracy , Future Muslim World , edited Ali Paya & John Esposito , London & New York : Routledge , 2012 .  \n",
       "3                                                                                                                                     Socio-Ethical Consequences Convergent Technologies ( with R. Kalantarinezhad ) , Tehran : National Research Institute Science Policy , Summer 2011 .  \n",
       "4                                                 “ Shi ‘ a Britain : The Earliest Cases ( Part 1 ) ” , Journal Shi ‘ a Islamic Studies , Summer 2017 Volume X , Number 3 ( Joint Paper Dr Isa Jahangir ) . N.B . issue latest issue JSIS due Journal ’ s backlog published October 2019 .  \n",
       "..                                                                                                                                                                                                                                                                                     ...  \n",
       "193                                                                                                                                                      Bashir , Shahzad Reading self Persian prose poetry . Religious Individualisation/Religious Individualisation . 2019 ; : 443-458 .  \n",
       "194                                                                                                                               Everlasting Doubt : Uncertainty Islamic Representations Past . Archiv für Religionsgeschichte/Archiv für Religionsgeschichte . 2018 ; 20 ( 1 ) : 25-44 .  \n",
       "195                                                                                                    The Origins Rhetorical Evolution Term Qizilbāsh Persianate Literature . Journal Economic Social History Orient/Journal Economic Social History Orient . 2014 ; 57 ( 3 ) : 364-391 .  \n",
       "196                                                                                                                           Bashir , Shahzad Shah Ismaʿil Qizilbash : Cannibalism Religious History Early Safavid Iran . History Religions/History Religions . 2006 ; 45 ( 3 ) : 234-256  \n",
       "197                                                                                                                                                                   Empirical Spirits : Islam , Spiritism , Virtues Science Iran Comparative Studies Society History , 58 ( 2 ) : 322-49  \n",
       "\n",
       "[198 rows x 7 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with pd.option_context('display.max_colwidth', None):\n",
    "  display(sana)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cea7484",
   "metadata": {},
   "source": [
    "# Vectorizing Data \n",
    "#### Importing for ML "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "af0017c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#for model-building\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.linear_model import SGDClassifier\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.metrics import classification_report, f1_score, accuracy_score, confusion_matrix\n",
    "from sklearn.metrics import roc_curve, auc, roc_auc_score\n",
    "\n",
    "# bag of words\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.feature_extraction.text import CountVectorizer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2184878f",
   "metadata": {},
   "source": [
    "###### CountVectorize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "84f02753",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(198, 5095)\n",
      "['000', '100', '1000', '1010', '1021', '1088', '10th', '1111', '1164', '1171', '11th', '1210', '1274', '12th', '1334', '135', '1350', '1370', '1382', '1389', '1390', '1392', '1394', '1399', '13th', '14', '1405', '1406', '1409', '1413', '1414', '1418', '1423', '1426', '1432', '1433', '1447', '1449', '1454', '1460s', '1464', '1469', '1488', '1490', '14th', '150', '1501', '1502', '1512', '1518', '1520', '1524', '1534', '1540', '1566', '157', '1587', '1592', '15th', '16', '1626', '1629', '163', '1642', '1687', '16th', '1700', '175', '18', '1835', '1867', '1882', '1899', '19', '1903', '1909', '1940s', '1950s', '1955', '1960s', '1970s', '1975', '1976', '1978', '1979', '1980s', '1982', '1989', '1990s', '1991', '1992', '1993', '1995', '1996', '1997', '1998', '20', '200', '2003', '2005', '2006', '2007', '2009', '2010', '2011', '2013', '2016', '2017', '2018', '2025', '20th', '21', '22', '25', '25b', '28', '298', '2nd', '302', '32', '333', '334', '335', '336', '341', '401', '411', '481', '4th', '505', '5th', '606', '680', '6th', '751', '771', '784', '79', '791', '792', '796', '7th', '80', '801', '808', '858', '88', '8th', '909', '90s', '911', '915', '918', '926', '940', '945', '946', '947', '948', '953', '974', '9th', 'ab', 'abadi', 'abandon', 'abar', 'abbas', 'abbasid', 'abd', 'abegescheidenheit', 'abi', 'abidance', 'ability', 'able', 'abomination', 'above', 'abrahamic', 'abridged', 'absence', 'absorption', 'abu', 'abundantly', 'aca', 'academia', 'academic', 'academy', 'accept', 'acceptance', 'access', 'accessing', 'acclaimed', 'accommodate', 'accommodation', 'accompanied', 'accomplished', 'accordance', 'according', 'accordingly', 'account', 'accountability', 'accountable', 'acculturated', 'accurate', 'accurately', 'accused', 'accusing', 'achieve', 'achieved', 'achievement', 'achieving', 'acknowledge', 'acknowledged', 'acknowledging', 'acquire', 'acquired', 'acquires', 'acquisition', 'across', 'act', 'acted', 'action', 'activated', 'active', 'actively', 'activism', 'activist', 'activists', 'activity', 'actor', 'actual', 'actually', 'acute', 'acutely', 'ad', 'adabized', 'adam', 'adamic', 'adaptation', 'add', 'added', 'addition', 'additional', 'address', 'addressed', 'addressing', 'adequate', 'adhered', 'administration', 'admitted', 'adopt', 'adopted', 'adopting', 'adoption', 'adoration', 'advance', 'advanced', 'advancement', 'advancing', 'advent', 'adventurer', 'adversary', 'advertises', 'advocate', 'aesthetic', 'af', 'afarn', 'afavid', 'affair', 'affect', 'affected', 'affiliation', 'affirmed', 'affirms', 'afghan', 'afghani', 'afghanistan', 'afield', 'africa', 'after', 'aftermath', 'afterward', 'aga', 'again', 'against', 'agamben', 'age', 'agency', 'agent', 'aggression', 'aggressive', 'ago', 'agreement', 'ah', 'ahd', 'ahkam', 'ahl', 'ahmad', 'ahmar', 'aid', 'aim', 'aimed', 'aims', 'aiva', 'akhl', 'al', 'alam', 'alarming', 'albania', 'albeit', 'alchemy', 'ald', 'alevilik', 'alevis', 'alevism', 'alexandre', 'alexandria', 'algorithm', 'ali', 'alike', 'alishah', 'alive', 'all', 'allah', 'allegedly', 'alliance', 'allied', 'allow', 'allowed', 'allowing', 'allows', 'almost', 'alone', 'along', 'already', 'also', 'alter', 'alteration', 'alternative', 'alternatively', 'although', 'althoughthereandelsewhereihaveinveighedagainstthereflexivedisappear', 'altogether', 'always', 'am', 'amal', 'amateur', 'ambiguity', 'ambiguous', 'ambitious', 'amendment', 'america', 'american', 'amir', 'amirs', 'amla', 'ammad', 'among', 'amongst', 'amoung', 'ample', 'amplifying', 'amr', 'an', 'anachronism', 'analogy', 'analysing', 'analysis', 'analytical', 'analytically', 'analyze', 'analyzed', 'analyzes', 'analyzing', 'anarchic', 'anatolia', 'anatolian', 'anchored', 'ancient', 'and', 'andsuggests', 'animal', 'announced', 'annual', 'anonymous', 'another', 'answer', 'answered', 'anthology', 'anthropological', 'anti', 'anticipation', 'anticipatory', 'antidote', 'antiquarian', 'antique', 'antiquity', 'anw', 'any', 'anything', 'apart', 'aperture', 'apostasy', 'apparatus', 'apparent', 'apparently', 'appeal', 'appealed', 'appear', 'appeared', 'appearing', 'appears', 'append', 'applicable', 'application', 'applied', 'applying', 'appoint', 'appointee', 'appraised', 'appreciated', 'appreciation', 'approach', 'approaching', 'appropriate', 'appropriated', 'appropriation', 'approximate', 'april', 'apt', 'aqq', 'aqquyunlu', 'ar', 'ara', 'arab', 'arabi', 'arabia', 'arabian', 'arabic', 'arabism', 'arabist', 'arabo', 'arabs', 'araf', 'arba', 'arbitrator', 'arcane', 'archetypical', 'architectural', 'architecture', 'archival', 'ardabil', 'are', 'area', 'arena', 'arguably', 'argue', 'argued', 'argues', 'arguing', 'argument', 'aristotelians', 'aristotle', 'armed', 'army', 'around', 'arram', 'arrange', 'array', 'arrival', 'arriving', 'art', 'article', 'articles', 'articulate', 'articulated', 'artifact', 'artificial', 'as', 'asad', 'ascendancy', 'ascribed', 'ash', 'ashura', 'asia', 'asian', 'aside', 'ask', 'asked', 'asking', 'asks', 'aspect', 'aspiration', 'asr', 'asraf', 'ass', 'assembly', 'assert', 'assessed', 'assessing', 'assessment', 'assist', 'assistance', 'asso', 'associate', 'associated', 'association', 'assorted', 'assume', 'assumed', 'assumption', 'astar', 'astral', 'astrological', 'astrology', 'astronomical', 'at', 'ata', 'ath', 'athist', 'attached', 'attachment', 'attained', 'attaining', 'attar', 'attempt', 'attendant', 'attention', 'attestation', 'attitude', 'attracted', 'attraction', 'attribute', 'attributed', 'audience', 'augmented', 'august', 'author', 'authored', 'authoritarianism', 'authoritative', 'authority', 'authorship', 'ava', 'avatar', 'aver', 'aversion', 'averting', 'avoid', 'avoided', 'avoiding', 'await', 'aware', 'away', 'awe', 'awziyya', 'axis', 'ay', 'ayatollah', 'ayatollahs', 'ayatullah', 'aydar', 'ayr', 'ayriyya', 'az', 'aza', 'ba', 'baby', 'back', 'background', 'backward', 'bacon', 'bacons', 'bad', 'bada', 'badakhshan', 'badakhshanis', 'bah', 'bahrain', 'bahraini', 'bahrainis', 'bahrains', 'bait', 'balance', 'balanced', 'banda', 'banna', 'banned', 'bar', 'baraka', 'bare', 'bargah', 'barq', 'barrier', 'basarab', 'base', 'based', 'bashear', 'bashir', 'basic', 'basis', 'basket', 'basmala', 'basra', 'basri', 'bath', 'batin', 'battle', 'battlefield', 'bay', 'bayt', 'bazm', 'be', 'bear', 'became', 'because', 'beck', 'become', 'becomes', 'been', 'before', 'beg', 'began', 'begin', 'beginning', 'begun', 'behalf', 'behaving', 'behavior', 'behind', 'beijing', 'being', 'belief', 'believe', 'believed', 'believer', 'belong', 'belonging', 'beneath', 'beneficiary', 'bengal', 'bengali', 'bennigsen', 'berlin', 'besides', 'best', 'bestowed', 'better', 'between', 'betweenness', 'beyond', 'bhakti', 'bi', 'biblical', 'bid', 'bier', 'bifurcated', 'bilingual', 'binary', 'bind', 'bio', 'bioethics', 'biographical', 'biographicalliterature', 'biography', 'birkbeck', 'birth', 'birthplace', 'blade', 'blending', 'blessing', 'blinded', 'blood', 'bloody', 'blurred', 'board', 'boast', 'body', 'bombay', 'book', 'books', 'bookstore', 'boom', 'border', 'born', 'borne', 'borrowing', 'both', 'bound', 'boundary', 'bourdieu', 'bowering', 'branch', 'brand', 'branded', 'break', 'breaking', 'brethren', 'bricolage', 'bridegroom', 'bridge', 'brief', 'briefly', 'bring', 'bringing', 'brings', 'britain', 'british', 'broad', 'broadened', 'broadens', 'broader', 'broadest', 'broadly', 'broken', 'brought', 'brutality', 'bs', 'bu', 'buddhism', 'build', 'building', 'built', 'burden', 'bureaucratization', 'burgeoning', 'burial', 'burning', 'bush', 'busy', 'but', 'butler', 'buyid', 'by', 'bythe', 'ca', 'cairene', 'cairo', 'calcutta', 'caliph', 'caliphate', 'caliphs', 'call', 'called', 'calligrapher', 'calligraphy', 'calling', 'calved', 'came', 'camel', 'camp', 'campaign', 'camps', 'can', 'canon', 'canonization', 'canvas', 'capable', 'capacity', 'capital', 'capitalist', 'capture', 'captured', 'card', 'career', 'careful', 'carefully', 'carnivalesque', 'carried', 'carry', 'carrying', 'carved', 'case', 'cast', 'caste', 'cat', 'catastrophe', 'catch', 'categoriesof', 'category', 'cation', 'caucasus', 'causal', 'cause', 'caused', 'ce', 'celebration', 'center', 'centered', 'central', 'centrality', 'centralization', 'centre', 'centuries', 'century', 'ceremonial', 'ceremony', 'cerning', 'certain', 'certainly', 'certainty', 'challenge', 'challenging', 'chamberlain', 'change', 'changing', 'chanted', 'chaos', 'chapter', 'character', 'characterisations', 'characteristic', 'characterize', 'characterized', 'chardin', 'charge', 'charged', 'charitable', 'charity', 'chart', 'chechnya', 'chicago', 'chief', 'child', 'children', 'chinese', 'ching', 'choice', 'chose', 'chosen', 'christ', 'christendom', 'christian', 'christianate', 'christianity', 'christians', 'christology', 'chronicle', 'chronological', 'church', 'cial', 'ciated', 'cinema', 'circa', 'circle', 'circulated', 'circulation', 'circumstance', 'cis', 'cited', 'citizen', 'citizenry', 'citizenship', 'city', 'civic', 'civil', 'civilisation', 'civilization', 'claim', 'claimant', 'claimed', 'claiming', 'clarify', 'clarity', 'class', 'classical', 'cleansed', 'clear', 'clearly', 'cleric', 'clerical', 'client', 'clientelism', 'clients', 'climate', 'climax', 'close', 'closely', 'closer', 'closest', 'cluster', 'clusters', 'cnetury', 'code', 'coercion', 'coexisted', 'coexistence', 'cognate', 'cognitive', 'cogno', 'coherence', 'coherent', 'cohesion', 'cohesive', 'coin', 'coincided', 'coincidentia', 'collaborated', 'collaboration', 'collaborator', 'collapse', 'collapsed', 'colleague', 'collect', 'collected', 'collecting', 'collection', 'collections', 'collective', 'college', 'colonial', 'colonialism', 'colonialist', 'combination', 'combine', 'come', 'commanded', 'commemorate', 'commemorated', 'commemorating', 'commemoration', 'commemorative', 'commentary', 'commented', 'commerce', 'commissioned', 'commitment', 'committed', 'common', 'commonality', 'commonly', 'communal', 'communication', 'community', 'companions', 'comparative', 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'cult', 'cultivate', 'cultivating', 'cultivation', 'cultur', 'cultural', 'culturalist', 'culture', 'cum', 'cupping', 'curious', 'currency', 'current', 'currently', 'cursory', 'cused', 'customary', 'cutting', 'cyclical', 'cylinder', 'cynic', 'da', 'daily', 'dakan', 'damascus', 'dancy', 'danger', 'dangerous', 'daniella', 'darkest', 'das', 'data', 'datable', 'date', 'dated', 'dating', 'daughter', 'dav', 'day', 'de', 'dead', 'deaf', 'deal', 'dealing', 'dearth', 'death', 'debate', 'debated', 'debt', 'decade', 'deccan', 'deccani', 'decided', 'decidedly', 'decision', 'declaration', 'decline', 'declinism', 'deconstructive', 'decree', 'dedicated', 'dedication', 'dee', 'deed', 'deemed', 'deep', 'defeat', 'defective', 'defence', 'defense', 'deference', 'defiance', 'define', 'defined', 'defines', 'defining', 'definite', 'definitely', 'definition', 'definitive', 'definitively', 'defor', 'defy', 'degenerate', 'degree', 'dehdar', 'delf', 'delhi', 'delicate', 'delimits', 'deliver', 'delivered', 'delivery', 'della', 'demand', 'demic', 'demobilization', 'democracy', 'democratic', 'democratization', 'demographic', 'demolished', 'demolition', 'demonstrate', 'demonstrated', 'demonstrates', 'demonstrating', 'demonstration', 'demonstrator', 'denomination', 'denote', 'deny', 'departing', 'departs', 'departure', 'dependent', 'depending', 'depends', 'depiction', 'deploys', 'depth', 'der', 'derivative', 'derived', 'derives', 'deriving', 'descendant', 'descended', 'describes', 'describing', 'desert', 'deserve', 'deserves', 'desideratum', 'designated', 'desirable', 'despite', 'destination', 'destruction', 'detached', 'detail', 'detailed', 'detailing', 'detection', 'determined', 'determining', 'develop', 'developed', 'developing', 'development', 'developmental', 'deviation', 'devised', 'devoted', 'devotee', 'devotion', 'devotional', 'devotionally', 'deweese', 'di', 'diagnosis', 'diagnostic', 'dialectician', 'dialogue', 'diaspora', 'diasporic', 'dichotomous', 'dichotomy', 'dictator', 'dictionary', 'die', 'died', 'dietary', 'diffciculty', 'diffculty', 'differ', 'differen', 'difference', 'different', 'differentiate', 'differentiates', 'differentiation', 'differently', 'differing', 'diffi', 'difficult', 'difficulty', 'digital', 'digitization', 'dilmun', 'dimension', 'din', 'diplomacy', 'direct', 'directed', 'direction', 'directly', 'dis', 'disaggregate', 'disagreement', 'disappearance', 'disavow', 'discern', 'discerned', 'disciplinary', 'discipline', 'disconnected', 'discourse', 'discover', 'discovered', 'discursive', 'discus', 'discussed', 'discussing', 'discussion', 'disliked', 'dismantling', 'dismissed', 'dispenses', 'dispersion', 'display', 'displayed', 'displeasure', 'dispute', 'disputed', 'disqualifying', 'disseminating', 'dissemination', 'dissent', 'dissertation', 'dissolving', 'distance', 'distinct', 'distinction', 'distinctive', 'distinctly', 'distinguish', 'distinguished', 'distinguishing', 'distorted', 'divergence', 'diverse', 'diversity', 'divide', 'divided', 'diviinely', 'divination', 'divinatory', 'divine', 'division', 'divorce', 'diye', 'do', 'doctor', 'doctoral', 'doctrinal', 'doctrine', 'document', 'documented', 'does', 'dogma', 'doing', 'doktorvater', 'domain', 'domestic', 'domestication', 'dominance', 'dominant', 'dominated', 'dominates', 'donating', 'donation', 'done', 'doomed', 'double', 'doubly', 'doubt', 'dowry', 'dozen', 'dramatic', 'draw', 'drawing', 'drawn', 'driven', 'driving', 'drove', 'druze', 'dual', 'duality', 'due', 'dumont', 'duologue', 'during', 'dutch', 'duty', 'dynamic', 'dynast', 'dynastic', 'dynasty', 'each', 'eager', 'ear', 'earlier', 'earliest', 'early', 'earth', 'earthly', 'easier', 'easily', 'east', 'eastern', 'easy', 'eb', 'ebtekar', 'eckhart', 'eco', 'ecology', 'econiche', 'economic', 'ecumenism', 'edge', 'edited', 'educating', 'education', 'educational', 'edward', 'effect', 'effected', 'effective', 'effectively', 'effects', 'efficacy', 'efficiency', 'efficient', 'effort', 'egories', 'egypt', 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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "#Vectorize the Abstract \n",
    "#The results for counts.shape give a tuple that indicate 198 abstract that have 4974 unique words \n",
    "count_vect = CountVectorizer()\n",
    "Xa_counts = count_vect.fit_transform(sana['AbstractL'])\n",
    "print(Xa_counts.shape)\n",
    "print(count_vect.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0884090a",
   "metadata": {},
   "outputs": [
    {
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       "<p>198 rows × 5095 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
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       "..    ...   ...   ...   ...   ...   ...   ...   ...   ...   ...  ...   ...   \n",
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       "\n",
       "     5086  5087  5088  5089  5090  5091  5092  5093  5094  \n",
       "0       0     0     0     0     0     0     0     0     0  \n",
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       "..    ...   ...   ...   ...   ...   ...   ...   ...   ...  \n",
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       "\n",
       "[198 rows x 5095 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Putting the result above into the dataframe \n",
    "Xa_counts_df = pd.DataFrame(Xa_counts.toarray())\n",
    "Xa_counts_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7c7b006c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    },
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       "  </tbody>\n",
       "</table>\n",
       "<p>198 rows × 5095 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     000  100  1000  1010  1021  1088  10th  1111  1164  1171  ...  zahra  \\\n",
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       "\n",
       "     zana  zaydis  zaynab  zbek  zeal  zero  ziya  zo  zu  \n",
       "0       0       0       0     0     0     0     0   0   0  \n",
       "1       0       0       0     0     0     0     0   0   0  \n",
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       "..    ...     ...     ...   ...   ...   ...   ...  ..  ..  \n",
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       "\n",
       "[198 rows x 5095 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#The results here show the same table as above except here it has columns names \n",
    "Xa_counts_df.columns = count_vect.get_feature_names()\n",
    "Xa_counts_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3676859d",
   "metadata": {},
   "source": [
    "##### N-Grams for TFIDF "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3434bbd9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  (0, 1337)\t1\n",
      "  (0, 16373)\t1\n",
      "  (0, 1783)\t1\n",
      "  (0, 6812)\t1\n",
      "  (0, 5762)\t1\n",
      "  (0, 7407)\t1\n",
      "  (0, 4993)\t1\n",
      "  (0, 6631)\t1\n",
      "  (0, 2418)\t1\n",
      "  (0, 4110)\t1\n",
      "  (0, 12933)\t1\n",
      "  (0, 9115)\t1\n",
      "  (0, 8318)\t1\n",
      "  (0, 3367)\t1\n",
      "  (0, 11106)\t1\n",
      "  (0, 12275)\t1\n",
      "  (0, 15242)\t1\n",
      "  (0, 4707)\t1\n",
      "  (0, 9875)\t1\n",
      "  (0, 14271)\t1\n",
      "  (0, 13666)\t1\n",
      "  (0, 14910)\t1\n",
      "  (0, 1923)\t1\n",
      "  (0, 15764)\t1\n",
      "  (0, 3281)\t1\n",
      "  :\t:\n",
      "  (197, 11306)\t1\n",
      "  (197, 12829)\t1\n",
      "  (197, 15758)\t1\n",
      "  (197, 3914)\t1\n",
      "  (197, 9260)\t1\n",
      "  (197, 13971)\t1\n",
      "  (197, 1058)\t1\n",
      "  (197, 1471)\t1\n",
      "  (197, 7802)\t1\n",
      "  (197, 11146)\t1\n",
      "  (197, 4102)\t1\n",
      "  (197, 14848)\t1\n",
      "  (197, 727)\t1\n",
      "  (197, 709)\t1\n",
      "  (197, 15576)\t1\n",
      "  (197, 12776)\t1\n",
      "  (197, 11046)\t1\n",
      "  (197, 9142)\t1\n",
      "  (197, 9176)\t1\n",
      "  (197, 14115)\t1\n",
      "  (197, 11864)\t1\n",
      "  (197, 12962)\t1\n",
      "  (197, 261)\t1\n",
      "  (197, 8424)\t1\n",
      "  (197, 3092)\t1\n"
     ]
    }
   ],
   "source": [
    "#Looking for \n",
    "ngram_vect = CountVectorizer(ngram_range = (3,3))\n",
    "X_counts = ngram_vect.fit_transform(sana['AbstractL'])\n",
    "print(X_counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5f381aa4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    },
    {
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       "</table>\n",
       "<p>198 rows × 16578 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     000 participant bahrain  100 000 participant  1000 1592 ce  1010 maw il  \\\n",
       "0                          0                    0             0            0   \n",
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       "\n",
       "     1021 powerful ruler  1088 after introducing  1088 renowned ism  \\\n",
       "0                      0                       0                  0   \n",
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       "..                   ...                     ...                ...   \n",
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       "\n",
       "     10th century draw  10th century eventually  10th century missionary  ...  \\\n",
       "0                    0                        0                        0  ...   \n",
       "1                    0                        0                        0  ...   \n",
       "2                    0                        0                        0  ...   \n",
       "3                    0                        0                        0  ...   \n",
       "4                    0                        0                        0  ...   \n",
       "..                 ...                      ...                      ...  ...   \n",
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       "194                  0                        0                        0  ...   \n",
       "195                  0                        0                        0  ...   \n",
       "196                  0                        0                        0  ...   \n",
       "197                  0                        0                        0  ...   \n",
       "\n",
       "     zaynab the chapter  zaynab though sayyida  zaynab well analyze  \\\n",
       "0                     0                      0                    0   \n",
       "1                     0                      0                    0   \n",
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       "3                     0                      0                    0   \n",
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       "..                  ...                    ...                  ...   \n",
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       "195                   0                      0                    0   \n",
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       "\n",
       "     zbek activity twelver  zbek khan golden  zeal individ uals  \\\n",
       "0                        0                 0                  0   \n",
       "1                        0                 0                  0   \n",
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       "..                     ...               ...                ...   \n",
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       "\n",
       "     zero sum game  ziya battle standard  zo state exception  zu qarneyn work  \n",
       "0                0                     0                   0                0  \n",
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       "..             ...                   ...                 ...              ...  \n",
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       "\n",
       "[198 rows x 16578 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_counts_df = pd.DataFrame(X_counts.toarray())\n",
    "X_counts_df.columns = ngram_vect.get_feature_names()\n",
    "X_counts_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3d14eb7e",
   "metadata": {},
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     "text": [
      "(198, 5095)\n",
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'worship', 'worshipful', 'worshipped', 'would', 'writer', 'writing', 'written', 'wrote', 'x00a0', 'xosrow', 'xvii', 'ya', 'yamun', 'yaqub', 'yaz', 'yazd', 'ye', 'year', 'yemen', 'yet', 'yetzirah', 'yi', 'yielded', 'yielding', 'you', 'young', 'younger', 'ysunghur', 'za', 'zahir', 'zahra', 'zana', 'zaydis', 'zaynab', 'zbek', 'zeal', 'zero', 'ziya', 'zo', 'zu']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\deprecation.py:87: FutureWarning: Function get_feature_names is deprecated; get_feature_names is deprecated in 1.0 and will be removed in 1.2. Please use get_feature_names_out instead.\n",
      "  warnings.warn(msg, category=FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "#Applying TFIDF Vectorizer\n",
    "tfidf_vect = TfidfVectorizer()\n",
    "X_tfidf = tfidf_vect.fit_transform(sana['AbstractL'])\n",
    "print(X_tfidf.shape)\n",
    "print(tfidf_vect.get_feature_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fa264dff",
   "metadata": {},
   "outputs": [
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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>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>...</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>193</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>194</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>195</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>196</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>197</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>198 rows × 5095 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     000  100  1000  1010  1021  1088  10th  1111  1164  1171  ...  zahra  \\\n",
       "0    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "1    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "2    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "3    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "4    0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "..   ...  ...   ...   ...   ...   ...   ...   ...   ...   ...  ...    ...   \n",
       "193  0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "194  0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "195  0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "196  0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "197  0.0  0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0  ...    0.0   \n",
       "\n",
       "     zana  zaydis  zaynab  zbek  zeal  zero  ziya   zo   zu  \n",
       "0     0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "1     0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "2     0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "3     0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "4     0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "..    ...     ...     ...   ...   ...   ...   ...  ...  ...  \n",
       "193   0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "194   0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "195   0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "196   0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "197   0.0     0.0     0.0   0.0   0.0   0.0   0.0  0.0  0.0  \n",
       "\n",
       "[198 rows x 5095 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_tfidf_df = pd.DataFrame(X_tfidf.toarray())\n",
    "X_tfidf_df.columns = tfidf_vect.get_feature_names()\n",
    "X_tfidf_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3db171a3",
   "metadata": {},
   "source": [
    "### Feature Engineering: Feature Creation "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "499fc2a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      696\n",
       "1      450\n",
       "2      562\n",
       "3      829\n",
       "4      942\n",
       "      ... \n",
       "193    765\n",
       "194    674\n",
       "195    407\n",
       "196    323\n",
       "197    583\n",
       "Name: AbstractL_len, Length: 198, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sanaC = sana[['TitleL','AbstractL']]\n",
    "sana['AbstractL_len'] = sana['AbstractL'].apply(lambda x : len(x) - x.count(\" \"))\n",
    "sana['AbstractL_len']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "93b13343",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       97\n",
       "1      162\n",
       "2      223\n",
       "3      128\n",
       "4      181\n",
       "      ... \n",
       "193    112\n",
       "194    130\n",
       "195    152\n",
       "196    131\n",
       "197     96\n",
       "Name: TitleL_len, Length: 198, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sana['TitleL_len'] = sana['TitleL'].apply(lambda x : len(x) - x.count(\" \"))\n",
    "sana['TitleL_len']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14341918",
   "metadata": {},
   "source": [
    "#### Evaluate the created features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "44e204d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot \n",
    "import numpy as np\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "216b54ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace(0,200,40)\n",
    "pyplot.hist(sana[sana['Category']=='1']['AbstractL_len'], bins, alpha = 0.5, label = '1')\n",
    "pyplot.hist(sana[sana['Category']=='0']['AbstractL_len'], bins, alpha = 0.5, label = '0')\n",
    "pyplot.legend(loc='upper left')\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "eef942c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace (0,700,40)\n",
    "pyplot.hist(sana['AbstractL_len'],bins)\n",
    "pyplot.title(\"Abstract Length Distribution\")\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "38e7109e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.linspace (0,650,40)\n",
    "pyplot.hist(sana['TitleL_len'],bins)\n",
    "pyplot.title(\"Title Length Distribution\")\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7457a0b8",
   "metadata": {},
   "source": [
    "### Machine Learning Classifiers "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b88950da",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import KFold, cross_val_score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4898d15c",
   "metadata": {},
   "source": [
    "###### Abstract"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1722d3da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.   , 0.425, 1.   , 1.   , 1.   ])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the vectore form \n",
    "tdfidf_vect = TfidfVectorizer()\n",
    "X_tfidf = tfidf_vect.fit_transform(sana['AbstractL'])\n",
    "\n",
    "X_features = pd.concat([sana['AbstractL_len'], pd.DataFrame(X_tfidf.toarray())], axis=1)\n",
    "X_features.head()\n",
    "\n",
    "#Apply the RDF Classifier \n",
    "rf = RandomForestClassifier(n_jobs=-1)\n",
    "k_fold = KFold(n_splits=5)\n",
    "\n",
    "cross_val_score(rf,X_features, sana['Category'], cv=k_fold, scoring='accuracy', n_jobs=-1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c04cfb92",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import precision_recall_fscore_support as score\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "445f4121",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\validation.py:1679: FutureWarning: Feature names only support names that are all strings. Got feature names with dtypes: ['int', 'str']. An error will be raised in 1.2.\n",
      "  FutureWarning,\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X_features, sana['Category'])\n",
    "rf = RandomForestClassifier(n_estimators=50, max_depth=20, n_jobs=-1)\n",
    "rf_model = rf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e0249091",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0.04545696202665166, 3341),\n",
       " (0.017211924209996978, 4209),\n",
       " (0.017146944659435386, 2399),\n",
       " (0.016874001365951637, 4938),\n",
       " (0.015812739349219385, 4101),\n",
       " (0.01535053511767938, 1139),\n",
       " (0.015050707561433922, 4860),\n",
       " (0.012467425358615183, 3878),\n",
       " (0.012129006047015087, 3441),\n",
       " (0.010324250735023039, 2974)]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(zip(rf_model.feature_importances_,X_train.columns), reverse= True)[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8d817afe",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\validation.py:1679: FutureWarning: Feature names only support names that are all strings. Got feature names with dtypes: ['int', 'str']. An error will be raised in 1.2.\n",
      "  FutureWarning,\n"
     ]
    }
   ],
   "source": [
    "y_pred = rf_model.predict(X_test)\n",
    "precision,recall,fscore,support=score(y_test,y_pred,pos_label = 1, average='binary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "94fc7e68",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision:1.0/Recall:0.444/Accuracy:0.9\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "print('Precision:{}/Recall:{}/Accuracy:{}'.format(round(precision,3), round(recall,3), round((y_pred==y_test).sum() / len(y_pred),3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9923f3c",
   "metadata": {},
   "source": [
    "###### Title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "bb4ba980",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.   , 0.425, 1.   , 1.   , 1.   ])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create the vectore form \n",
    "tdfidf_vect = TfidfVectorizer()\n",
    "X_tfidf = tfidf_vect.fit_transform(sana['TitleL'])\n",
    "\n",
    "X_features = pd.concat([sana['TitleL_len'], pd.DataFrame(X_tfidf.toarray())], axis=1)\n",
    "X_features.head()\n",
    "\n",
    "#Apply the RDF Classifier \n",
    "rf = RandomForestClassifier(n_jobs=-1)\n",
    "k_fold = KFold(n_splits=5)\n",
    "\n",
    "cross_val_score(rf,X_features, sana['Category'], cv=k_fold, scoring='accuracy', n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a6ebc7d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\validation.py:1679: FutureWarning: Feature names only support names that are all strings. Got feature names with dtypes: ['int', 'str']. An error will be raised in 1.2.\n",
      "  FutureWarning,\n"
     ]
    }
   ],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X_features, sana['Category'])\n",
    "rf = RandomForestClassifier(n_estimators=50, max_depth=20, n_jobs=-1)\n",
    "rf_model = rf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "c44b24ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\sklearn\\utils\\validation.py:1679: FutureWarning: Feature names only support names that are all strings. Got feature names with dtypes: ['int', 'str']. An error will be raised in 1.2.\n",
      "  FutureWarning,\n"
     ]
    }
   ],
   "source": [
    "y_pred = rf_model.predict(X_test)\n",
    "precision,recall,fscore,support=score(y_test,y_pred,pos_label = 1, average='binary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a8efb7ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision:1.0/Recall:0.412/Accuracy:0.8\n"
     ]
    }
   ],
   "source": [
    "print('Precision:{}/Recall:{}/Accuracy:{}'.format(round(precision,3), round(recall,3), round((y_pred==y_test).sum() / len(y_pred),3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e119690",
   "metadata": {},
   "source": [
    "#### Doc2Vec Approach "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "fcf38fa7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\ipykernel_launcher.py:37: DeprecationWarning: Call to deprecated `docvecs` (The `docvecs` property has been renamed `dv`.).\n"
     ]
    }
   ],
   "source": [
    "from gensim.models.doc2vec import TaggedDocument\n",
    "from gensim.models import Doc2Vec\n",
    "from sklearn import utils\n",
    "from sklearn import linear_model\n",
    "#Split into 80/20 train and test \n",
    "X = sana['AbstractL']\n",
    "Y = sana['Category']\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=1)\n",
    "\n",
    "\n",
    "def label_reviews(review, label_type):\n",
    "    labeled = []\n",
    "    for i,v in enumerate(review):\n",
    "        label = label_type + '_' + str(i)\n",
    "        labeled.append(TaggedDocument(v.split(), [label]))\n",
    "    return labeled\n",
    "\n",
    "#Label training and test sets using function\n",
    "X_train = label_reviews(X_train, 'Train')\n",
    "X_test = label_reviews(X_test,'Test')\n",
    "AllData = X_train + X_test\n",
    "\n",
    "#Build Doc2Vec model\n",
    "DBOWModel = Doc2Vec(dm=0, vector_size=300, negative=5, min_count=1, alpha=0.065, min_alpha=0.065)\n",
    "DBOWModel.build_vocab([x for x in AllData])\n",
    "\n",
    "#Iterate over data to train model\n",
    "for epoch in range(30):\n",
    "    DBOWModel.train(utils.shuffle([x for x in AllData]), total_examples=len(AllData), epochs=1)\n",
    "    DBOWModel.alpha -= 0.002\n",
    "    DBOWModel.min_alpha = DBOWModel.alpha\n",
    "\n",
    "def get_vectors(model, corpus_size, vectors_size, vectors_type):\n",
    "    vectors = np.zeros((corpus_size, vectors_size))\n",
    "    for i in range(0, corpus_size):\n",
    "        prefix = vectors_type + '_' + str(i)\n",
    "        vectors[i] = model.docvecs[prefix]\n",
    "    return vectors\n",
    "#Vectorize training and testing data\n",
    "train_vectors_dbow = get_vectors(DBOWModel, len(X_train), 300, 'Train')\n",
    "test_vectors_dbow = get_vectors(DBOWModel, len(X_test), 300, 'Test')\n",
    "\n",
    "#Run multinomial logistic regression\n",
    "#Run binary logistic regression\n",
    "LR = linear_model.LogisticRegression(solver='lbfgs',max_iter=10000)\n",
    "LR = LR.fit(train_vectors_dbow, Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "466eda99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Doc2Vec Binary Class Balance\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Binary Logistic Model Score for Doc2Vec: 82.5 % \n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from yellowbrick.target import ClassBalance\n",
    "import matplotlib.pyplot as plt\n",
    "from yellowbrick.classifier import ClassificationReport\n",
    "\n",
    "#Class Balance Visualization\n",
    "CB = ClassBalance()\n",
    "CB.fit(Y_train, Y_test)\n",
    "print('Doc2Vec Binary Class Balance\\n')\n",
    "plt.show()\n",
    "\n",
    "#Classification Report and overall score for Logistics Regression\n",
    "LRScore = round((LR.score(test_vectors_dbow, Y_test))*100,2)\n",
    "print('Binary Logistic Model Score for Doc2Vec:',LRScore,'%','\\n')\n",
    "LRC = ClassificationReport(LR, support=False)\n",
    "LRC.fit(train_vectors_dbow, Y_train)      \n",
    "LRC.score(test_vectors_dbow, Y_test)\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "87ed7ee3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda 2\\envs\\SANA\\lib\\site-packages\\ipykernel_launcher.py:32: DeprecationWarning: Call to deprecated `docvecs` (The `docvecs` property has been renamed `dv`.).\n"
     ]
    }
   ],
   "source": [
    "X = sana['TitleL']\n",
    "Y = sana['Category']\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=1)\n",
    "\n",
    "\n",
    "def label_reviews(review, label_type):\n",
    "    labeled = []\n",
    "    for i,v in enumerate(review):\n",
    "        label = label_type + '_' + str(i)\n",
    "        labeled.append(TaggedDocument(v.split(), [label]))\n",
    "    return labeled\n",
    "\n",
    "#Label training and test sets using function\n",
    "X_train = label_reviews(X_train, 'Train')\n",
    "X_test = label_reviews(X_test,'Test')\n",
    "AllData = X_train + X_test\n",
    "\n",
    "#Build Doc2Vec model\n",
    "DBOWModel = Doc2Vec(dm=0, vector_size=300, negative=5, min_count=1, alpha=0.065, min_alpha=0.065)\n",
    "DBOWModel.build_vocab([x for x in AllData])\n",
    "\n",
    "#Iterate over data to train model\n",
    "for epoch in range(30):\n",
    "    DBOWModel.train(utils.shuffle([x for x in AllData]), total_examples=len(AllData), epochs=1)\n",
    "    DBOWModel.alpha -= 0.002\n",
    "    DBOWModel.min_alpha = DBOWModel.alpha\n",
    "\n",
    "def get_vectors(model, corpus_size, vectors_size, vectors_type):\n",
    "    vectors = np.zeros((corpus_size, vectors_size))\n",
    "    for i in range(0, corpus_size):\n",
    "        prefix = vectors_type + '_' + str(i)\n",
    "        vectors[i] = model.docvecs[prefix]\n",
    "    return vectors\n",
    "#Vectorize training and testing data\n",
    "train_vectors_dbow = get_vectors(DBOWModel, len(X_train), 300, 'Train')\n",
    "test_vectors_dbow = get_vectors(DBOWModel, len(X_test), 300, 'Test')\n",
    "\n",
    "#Run multinomial logistic regression\n",
    "#Run binary logistic regression\n",
    "LR = linear_model.LogisticRegression(solver='lbfgs',max_iter=10000)\n",
    "LR = LR.fit(train_vectors_dbow, Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "4d1ecf56",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Doc2Vec Binary Class Balance\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Binary Logistic Model Score for Doc2Vec: 92.5 % \n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Class Balance Visualization\n",
    "CB = ClassBalance()\n",
    "CB.fit(Y_train, Y_test)\n",
    "print('Doc2Vec Binary Class Balance\\n')\n",
    "plt.show()\n",
    "\n",
    "#Classification Report and overall score for Logistics Regression\n",
    "LRScore = round((LR.score(test_vectors_dbow, Y_test))*100,2)\n",
    "print('Binary Logistic Model Score for Doc2Vec:',LRScore,'%','\\n')\n",
    "LRC = ClassificationReport(LR, support=False)\n",
    "LRC.fit(train_vectors_dbow, Y_train)      \n",
    "LRC.score(test_vectors_dbow, Y_test)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54ccbfda",
   "metadata": {},
   "source": [
    "#### Recurrent Neural Networks "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "e9b96c16",
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.preprocessing.text import Tokenizer \n",
    "from keras.preprocessing.sequence import pad_sequences "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c8e9fe4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Fit the tokenize \n",
    "from sklearn.model_selection import train_test_split\n",
    "text = sana['AbstractL']\n",
    "label = sana['Category']\n",
    "X_train, X_test, y_train, y_test = train_test_split(text,\n",
    "                                                    label)\n",
    "tokenizer = Tokenizer()\n",
    "tokenizer.fit_on_texts(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "c5cc8bf6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Train and Test split \n",
    "X_train_seq = tokenizer.texts_to_sequences(X_train)\n",
    "X_test_seq = tokenizer.texts_to_sequences(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "b1bba5d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_seq_padded = pad_sequences(X_train_seq, 200)\n",
    "X_test_seq_padded = pad_sequences(X_test_seq, 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "713c4855",
   "metadata": {},
   "outputs": [],
   "source": [
    "import keras.backend as K\n",
    "from keras.layers import Dense, Embedding, LSTM\n",
    "from keras.models import Sequential\n",
    "\n",
    "def recall_m(y_true, y_pred):\n",
    "        true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n",
    "        possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))\n",
    "        recall = true_positives / (possible_positives + K.epsilon())\n",
    "        return recall\n",
    "\n",
    "def precision_m(y_true, y_pred):\n",
    "        true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))\n",
    "        predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)))\n",
    "        precision = true_positives / (predicted_positives + K.epsilon())\n",
    "        return precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "066882f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " embedding (Embedding)       (None, None, 100)         442700    \n",
      "                                                                 \n",
      " lstm (LSTM)                 (None, 100)               80400     \n",
      "                                                                 \n",
      " dense (Dense)               (None, 100)               10100     \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 1)                 101       \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 533,301\n",
      "Trainable params: 533,301\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "#Creating the model\n",
    "#dropout helps with overfitting \n",
    "model = Sequential()\n",
    "model.add(Embedding(len(tokenizer.index_word)+1, 100))\n",
    "model.add(LSTM(100,dropout=0, recurrent_dropout=0))\n",
    "model.add(Dense(100, activation='relu'))\n",
    "model.add(Dense(1, activation='sigmoid'))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "1e96bf86",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compile the model\n",
    "model.compile(optimizer='adam',\n",
    "              loss='binary_crossentropy',\n",
    "              metrics=['accuracy', precision_m, recall_m])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "7ec828e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "2/2 [==============================] - 2s 557ms/step - loss: 0.6916 - accuracy: 0.5811 - precision_m: 0.1364 - recall_m: 0.1452 - val_loss: 0.6878 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 2/10\n",
      "2/2 [==============================] - 0s 185ms/step - loss: 0.6831 - accuracy: 0.6824 - precision_m: 0.0000e+00 - recall_m: 0.0000e+00 - val_loss: 0.6808 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 3/10\n",
      "2/2 [==============================] - 0s 180ms/step - loss: 0.6713 - accuracy: 0.6824 - precision_m: 0.0000e+00 - recall_m: 0.0000e+00 - val_loss: 0.6695 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 4/10\n",
      "2/2 [==============================] - 0s 183ms/step - loss: 0.6519 - accuracy: 0.6824 - precision_m: 0.0000e+00 - recall_m: 0.0000e+00 - val_loss: 0.6490 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 5/10\n",
      "2/2 [==============================] - 0s 181ms/step - loss: 0.6136 - accuracy: 0.6824 - precision_m: 0.0000e+00 - recall_m: 0.0000e+00 - val_loss: 0.6104 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 6/10\n",
      "2/2 [==============================] - 0s 176ms/step - loss: 0.5340 - accuracy: 0.6824 - precision_m: 0.0000e+00 - recall_m: 0.0000e+00 - val_loss: 0.8168 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 7/10\n",
      "2/2 [==============================] - 0s 187ms/step - loss: 0.6695 - accuracy: 0.6824 - precision_m: 0.0000e+00 - recall_m: 0.0000e+00 - val_loss: 0.5860 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 8/10\n",
      "2/2 [==============================] - 0s 176ms/step - loss: 0.4612 - accuracy: 0.6824 - precision_m: 0.0000e+00 - recall_m: 0.0000e+00 - val_loss: 0.5837 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 9/10\n",
      "2/2 [==============================] - 0s 169ms/step - loss: 0.4569 - accuracy: 0.7365 - precision_m: 1.0000 - recall_m: 0.2127 - val_loss: 0.5801 - val_accuracy: 0.6800 - val_precision_m: 0.0000e+00 - val_recall_m: 0.0000e+00\n",
      "Epoch 10/10\n",
      "2/2 [==============================] - 0s 175ms/step - loss: 0.4417 - accuracy: 0.9392 - precision_m: 1.0000 - recall_m: 0.8062 - val_loss: 0.5647 - val_accuracy: 0.7000 - val_precision_m: 1.0000 - val_recall_m: 0.0625\n"
     ]
    }
   ],
   "source": [
    "# Fit the RNN model\n",
    "history = model.fit(X_train_seq_padded, y_train, \n",
    "                    batch_size=100, epochs=10,\n",
    "                    validation_data=(X_test_seq_padded, y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "5a7c3429",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the evaluation metrics by each epoch for the model to see if we are over or underfitting\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "for i in ['accuracy', 'precision_m', 'recall_m']:\n",
    "    acc = history.history[i]\n",
    "    val_acc = history.history['val_{}'.format(i)]\n",
    "    epochs = range(1, len(acc) + 1)\n",
    "\n",
    "    plt.figure()\n",
    "    plt.plot(epochs, acc, label='Training Accuracy')\n",
    "    plt.plot(epochs, val_acc, label='Validation Accuracy')\n",
    "    plt.title('Results for {}'.format(i))\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "327aa70b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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