wordEmbedding.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Word Embedding\n",
    "---\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import\n",
    "from nltk.tokenize import word_tokenize\n",
    "from gensim.models.phrases import Phrases, Phraser\n",
    "#import fuzzysearch\n",
    "#import fuzzywuzzy\n",
    "import pandas as pd\n",
    "import PyPDF2"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read Text from PDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pdfFileObj = open('20221118-FULL.pdf', 'rb') #Create pdf object\n",
    "pdfReader = PyPDF2.PdfReader(pdfFileObj) \n",
    "\n",
    "allText = \"\"\n",
    "for i in range(792): #Iterating over n pages \n",
    "    pageObj = pdfReader.pages[i]\n",
    "    page = pageObj.extract_text()\n",
    "    allText += page #Store page content into string variable\n",
    "\n",
    "allText;"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preprocessing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'EUROPEAN COMMISSION\\nFinancial Stability, Financial Services and Capital Markets Union (DG FISMA)\\nEuropean Union\\nConsolidated Financial Sanctions List\\nThis list has been updated on 18/11/2022 11:37European Union Consolidated Financial Sanctions List\\nTable of contents\\n1. Introduction3 \\n2. Individuals or persons3 \\n3. Entities or groups631 \\n4. Disclaimer792 \\nPage 2 on 792European Union Consolidated Financial Sanctions List\\n1. INTRODUCTION\\nThe present document contains the Consolidated List of persons, groups and entities subject, under EU Sanctions, to an asset freeze and the prohibition to\\nmake funds and economic resources available to them. The latest version of this file is here.\\n2. INDIVIDUALS OR PERSONS\\nEU reference number: EU.1787.1\\n;Legal basis: 2017/404 (OJ L63)\\n;Programme: AFG - Afghanistan\\n;Identity information:\\n• Name/Alias: Sirajuddin Jallaloudine Haqqani  Function: Na’ib Amir (Deputy Commander)  \\n• Name/Alias: Khalifa  \\n• Name/Alias: Saraj Haqani  \\n• Name/Alias: Siraj Haqani  '"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Preprocessing\n",
    "allText = allText.replace(';','')\n",
    "\n",
    "alltext_string_all = allText.replace('Legal basis',';Legal basis').replace('Identity information',';Identity information').replace('Programme', ';Programme').replace('Birth information',';Birth information').replace('Citizenship information',';Citizenship information').replace('Contact information',';Contact information')\n",
    "testListSplit = alltext_string_all.split('reference number: EU')\n",
    "alltext_string_all[:1000]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create dataframe\n",
    "dbn_df = pd.DataFrame([sub.split(\";\") for sub in testListSplit])\n",
    "dbn_df.fillna(\"\",inplace=True)\n",
    "dbn_df.columns = ['EU Reference', 'Legal basis', 'Programme', 'Identity information', 'Birth information', 'Citizenship information', 'Contact information']\n",
    "#,'','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','','']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EU Reference</th>\n",
       "      <th>Legal basis</th>\n",
       "      <th>Programme</th>\n",
       "      <th>Identity information</th>\n",
       "      <th>Birth information</th>\n",
       "      <th>Citizenship information</th>\n",
       "      <th>Contact information</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EUROPEAN COMMISSION\\nFinancial Stability, Fina...</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>1</th>\n",
       "      <td>.1787.1\\n</td>\n",
       "      <td>Legal basis: 2017/404 (OJ L63)\\n</td>\n",
       "      <td>Programme: AFG - Afghanistan\\n</td>\n",
       "      <td>Identity information:\\n• Name/Alias: Sirajuddi...</td>\n",
       "      <td>Birth information:\\n• Birth date: Circa from 1...</td>\n",
       "      <td>Citizenship information:\\n• Citizenship: Afgha...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan, Mi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>.2272.60\\n</td>\n",
       "      <td>Legal basis: 2017/404 (OJ L63)\\n</td>\n",
       "      <td>Programme: AFG - Afghanistan\\n</td>\n",
       "      <td>Identity information:\\n• Name/Alias: Nasiruddi...</td>\n",
       "      <td>Birth information:\\n• Birth date: Circa from 1...</td>\n",
       "      <td>Citizenship information:\\n• Citizenship: Afgha...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan  \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>.2274.87\\n</td>\n",
       "      <td>Legal basis: 2017/404 (OJ L63)\\n</td>\n",
       "      <td>Programme: AFG - Afghanistan\\n</td>\n",
       "      <td>Identity information:\\n• Name/Alias: Gul Agha ...</td>\n",
       "      <td>Birth information:\\n• Birth date: Circa 1972  ...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan  \\n...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>.2291.0\\n</td>\n",
       "      <td>Legal basis: 2017/404 (OJ L63)\\n</td>\n",
       "      <td>Programme: AFG - Afghanistan\\n</td>\n",
       "      <td>Identity information:\\n• Name/Alias: Amir Abdu...</td>\n",
       "      <td>Birth information:\\n• Birth date: Circa 1972  ...</td>\n",
       "      <td>Citizenship information:\\n• Citizenship: Afgha...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan, Ka...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3635</th>\n",
       "      <td>.9027.6\\n</td>\n",
       "      <td>Legal basis: 2022/2229 (OJ L293-I)\\n</td>\n",
       "      <td>Programme: UKR - Ukraine\\nCompany name:\\n• Nam...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3636</th>\n",
       "      <td>.9028.5\\n</td>\n",
       "      <td>Legal basis: 2022/2229 (OJ L293-I)\\n</td>\n",
       "      <td>Programme: UKR - Ukraine\\nCompany name:\\n• Nam...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>.5121.69\\n</td>\n",
       "      <td>Legal basis: UNLI - 14.05.2019\\n</td>\n",
       "      <td>Programme: UNLI - UN Listing\\nPage 790 on 792E...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3638</th>\n",
       "      <td>.7817.36\\n</td>\n",
       "      <td>Legal basis: 2022/419 (OJ L86)\\n</td>\n",
       "      <td>Programme: YEM - Yemen\\nCompany name:\\n• Name:...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
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       "    <tr>\n",
       "      <th>3639</th>\n",
       "      <td>.5061.33\\n</td>\n",
       "      <td>Legal basis: 77/2009 (OJ L23)\\n</td>\n",
       "      <td>Programme: ZWE - Zimbabwe\\nCompany name:\\n• Na...</td>\n",
       "      <td>Contact information: \\n• Address: Zimbabwe, Ha...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3640 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           EU Reference  \\\n",
       "0     EUROPEAN COMMISSION\\nFinancial Stability, Fina...   \n",
       "1                                             .1787.1\\n   \n",
       "2                                            .2272.60\\n   \n",
       "3                                            .2274.87\\n   \n",
       "4                                             .2291.0\\n   \n",
       "...                                                 ...   \n",
       "3635                                          .9027.6\\n   \n",
       "3636                                          .9028.5\\n   \n",
       "3637                                         .5121.69\\n   \n",
       "3638                                         .7817.36\\n   \n",
       "3639                                         .5061.33\\n   \n",
       "\n",
       "                               Legal basis  \\\n",
       "0                                            \n",
       "1         Legal basis: 2017/404 (OJ L63)\\n   \n",
       "2         Legal basis: 2017/404 (OJ L63)\\n   \n",
       "3         Legal basis: 2017/404 (OJ L63)\\n   \n",
       "4         Legal basis: 2017/404 (OJ L63)\\n   \n",
       "...                                    ...   \n",
       "3635  Legal basis: 2022/2229 (OJ L293-I)\\n   \n",
       "3636  Legal basis: 2022/2229 (OJ L293-I)\\n   \n",
       "3637      Legal basis: UNLI - 14.05.2019\\n   \n",
       "3638      Legal basis: 2022/419 (OJ L86)\\n   \n",
       "3639       Legal basis: 77/2009 (OJ L23)\\n   \n",
       "\n",
       "                                              Programme  \\\n",
       "0                                                         \n",
       "1                        Programme: AFG - Afghanistan\\n   \n",
       "2                        Programme: AFG - Afghanistan\\n   \n",
       "3                        Programme: AFG - Afghanistan\\n   \n",
       "4                        Programme: AFG - Afghanistan\\n   \n",
       "...                                                 ...   \n",
       "3635  Programme: UKR - Ukraine\\nCompany name:\\n• Nam...   \n",
       "3636  Programme: UKR - Ukraine\\nCompany name:\\n• Nam...   \n",
       "3637  Programme: UNLI - UN Listing\\nPage 790 on 792E...   \n",
       "3638  Programme: YEM - Yemen\\nCompany name:\\n• Name:...   \n",
       "3639  Programme: ZWE - Zimbabwe\\nCompany name:\\n• Na...   \n",
       "\n",
       "                                   Identity information  \\\n",
       "0                                                         \n",
       "1     Identity information:\\n• Name/Alias: Sirajuddi...   \n",
       "2     Identity information:\\n• Name/Alias: Nasiruddi...   \n",
       "3     Identity information:\\n• Name/Alias: Gul Agha ...   \n",
       "4     Identity information:\\n• Name/Alias: Amir Abdu...   \n",
       "...                                                 ...   \n",
       "3635                                                      \n",
       "3636                                                      \n",
       "3637                                                      \n",
       "3638                                                      \n",
       "3639  Contact information: \\n• Address: Zimbabwe, Ha...   \n",
       "\n",
       "                                      Birth information  \\\n",
       "0                                                         \n",
       "1     Birth information:\\n• Birth date: Circa from 1...   \n",
       "2     Birth information:\\n• Birth date: Circa from 1...   \n",
       "3     Birth information:\\n• Birth date: Circa 1972  ...   \n",
       "4     Birth information:\\n• Birth date: Circa 1972  ...   \n",
       "...                                                 ...   \n",
       "3635                                                      \n",
       "3636                                                      \n",
       "3637                                                      \n",
       "3638                                                      \n",
       "3639                                                      \n",
       "\n",
       "                                Citizenship information  \\\n",
       "0                                                         \n",
       "1     Citizenship information:\\n• Citizenship: Afgha...   \n",
       "2     Citizenship information:\\n• Citizenship: Afgha...   \n",
       "3     Contact information: \\n• Address: Pakistan  \\n...   \n",
       "4     Citizenship information:\\n• Citizenship: Afgha...   \n",
       "...                                                 ...   \n",
       "3635                                                      \n",
       "3636                                                      \n",
       "3637                                                      \n",
       "3638                                                      \n",
       "3639                                                      \n",
       "\n",
       "                                    Contact information  \n",
       "0                                                        \n",
       "1     Contact information: \\n• Address: Pakistan, Mi...  \n",
       "2     Contact information: \\n• Address: Pakistan  \\n...  \n",
       "3                                                        \n",
       "4     Contact information: \\n• Address: Pakistan, Ka...  \n",
       "...                                                 ...  \n",
       "3635                                                     \n",
       "3636                                                     \n",
       "3637                                                     \n",
       "3638                                                     \n",
       "3639                                                     \n",
       "\n",
       "[3640 rows x 7 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbn_df\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleanupDataframe(dataframe):\n",
    "    dataframe['Legal basis'] = dataframe['Legal basis'].apply(lambda x: x.replace('Legal basis: ','').replace('\\n',''))\n",
    "    dataframe['Programme'] = dataframe['Programme'].apply(lambda x: x.replace('Programme: ','').replace('\\n',''))\n",
    "    dataframe['Identity information'] = dataframe['Identity information'].apply(lambda x: x.replace('Identity information:','').replace('Name/Alias:',';').replace('•','').replace('Function:','').split(';'))\n",
    "    dataframe.replace('^\\s+', '', regex=True, inplace=True) #front\n",
    "    dataframe.replace('\\s+$', '', regex=True, inplace=True) #end\n",
    "    dataframe['Birth information'] = dataframe['Birth information'].apply(lambda x: x.replace('Birth information:\\n•',''))\n",
    "    return dataframe\n",
    "\n",
    "def stripDataframe(dataframe):\n",
    "    dataframe['Identity information'] = dataframe['Identity information'].apply(lambda x: [y.strip() for y in x ])\n",
    "    return dataframe\n",
    "\n",
    "\n",
    "# def listCreation(dataframe):\n",
    "#     identityInformation = []\n",
    "#     for i in dataframe:\n",
    "#         temp = dataframe.tolist()\n",
    "#         identityInformation.append(temp)\n",
    "#     return identityInformation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EU Reference</th>\n",
       "      <th>Legal basis</th>\n",
       "      <th>Programme</th>\n",
       "      <th>Identity information</th>\n",
       "      <th>Birth information</th>\n",
       "      <th>Citizenship information</th>\n",
       "      <th>Contact information</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>EUROPEAN COMMISSION\\nFinancial Stability, Fina...</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>1</th>\n",
       "      <td>.1787.1</td>\n",
       "      <td>2017/404 (OJ L63)</td>\n",
       "      <td>AFG - Afghanistan</td>\n",
       "      <td>[, Sirajuddin Jallaloudine Haqqani   Na’ib Ami...</td>\n",
       "      <td>Birth date: Circa from 1977 to 1978  Birth pl...</td>\n",
       "      <td>Citizenship information:\\n• Citizenship: Afgha...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan, Mi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>.2272.60</td>\n",
       "      <td>2017/404 (OJ L63)</td>\n",
       "      <td>AFG - Afghanistan</td>\n",
       "      <td>[, Nasiruddin Haqqani   A leader of the Haqqan...</td>\n",
       "      <td>Birth date: Circa from 1970 to 1973  Birth pl...</td>\n",
       "      <td>Citizenship information:\\n• Citizenship: Afgha...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan  \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>.2274.87</td>\n",
       "      <td>2017/404 (OJ L63)</td>\n",
       "      <td>AFG - Afghanistan</td>\n",
       "      <td>[, Gul Agha Ishakzai, Mullah Gul Agha, Mullah ...</td>\n",
       "      <td>Birth date: Circa 1972  Birth place: Afghanis...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan  \\n...</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>.2291.0</td>\n",
       "      <td>2017/404 (OJ L63)</td>\n",
       "      <td>AFG - Afghanistan</td>\n",
       "      <td>[, Amir Abdullah   Former Kandahar Province De...</td>\n",
       "      <td>Birth date: Circa 1972  Birth place: Afghanis...</td>\n",
       "      <td>Citizenship information:\\n• Citizenship: Afgha...</td>\n",
       "      <td>Contact information: \\n• Address: Pakistan, Ka...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3635</th>\n",
       "      <td>.9027.6</td>\n",
       "      <td>2022/2229 (OJ L293-I)</td>\n",
       "      <td>UKR - UkraineCompany name:• Name: Islāma revol...</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3636</th>\n",
       "      <td>.9028.5</td>\n",
       "      <td>2022/2229 (OJ L293-I)</td>\n",
       "      <td>UKR - UkraineCompany name:• Name: صنایع هوایی ...</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3637</th>\n",
       "      <td>.5121.69</td>\n",
       "      <td>UNLI - 14.05.2019</td>\n",
       "      <td>UNLI - UN ListingPage 790 on 792European Union...</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3638</th>\n",
       "      <td>.7817.36</td>\n",
       "      <td>2022/419 (OJ L86)</td>\n",
       "      <td>YEM - YemenCompany name:• Name: ANSARALLAH• Na...</td>\n",
       "      <td>[]</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3639</th>\n",
       "      <td>.5061.33</td>\n",
       "      <td>77/2009 (OJ L23)</td>\n",
       "      <td>ZWE - ZimbabweCompany name:• Name: Zimbabwe De...</td>\n",
       "      <td>[Contact information: \\n Address: Zimbabwe, Ha...</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3640 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           EU Reference  \\\n",
       "0     EUROPEAN COMMISSION\\nFinancial Stability, Fina...   \n",
       "1                                               .1787.1   \n",
       "2                                              .2272.60   \n",
       "3                                              .2274.87   \n",
       "4                                               .2291.0   \n",
       "...                                                 ...   \n",
       "3635                                            .9027.6   \n",
       "3636                                            .9028.5   \n",
       "3637                                           .5121.69   \n",
       "3638                                           .7817.36   \n",
       "3639                                           .5061.33   \n",
       "\n",
       "                Legal basis  \\\n",
       "0                             \n",
       "1         2017/404 (OJ L63)   \n",
       "2         2017/404 (OJ L63)   \n",
       "3         2017/404 (OJ L63)   \n",
       "4         2017/404 (OJ L63)   \n",
       "...                     ...   \n",
       "3635  2022/2229 (OJ L293-I)   \n",
       "3636  2022/2229 (OJ L293-I)   \n",
       "3637      UNLI - 14.05.2019   \n",
       "3638      2022/419 (OJ L86)   \n",
       "3639       77/2009 (OJ L23)   \n",
       "\n",
       "                                              Programme  \\\n",
       "0                                                         \n",
       "1                                     AFG - Afghanistan   \n",
       "2                                     AFG - Afghanistan   \n",
       "3                                     AFG - Afghanistan   \n",
       "4                                     AFG - Afghanistan   \n",
       "...                                                 ...   \n",
       "3635  UKR - UkraineCompany name:• Name: Islāma revol...   \n",
       "3636  UKR - UkraineCompany name:• Name: صنایع هوایی ...   \n",
       "3637  UNLI - UN ListingPage 790 on 792European Union...   \n",
       "3638  YEM - YemenCompany name:• Name: ANSARALLAH• Na...   \n",
       "3639  ZWE - ZimbabweCompany name:• Name: Zimbabwe De...   \n",
       "\n",
       "                                   Identity information  \\\n",
       "0                                                    []   \n",
       "1     [, Sirajuddin Jallaloudine Haqqani   Na’ib Ami...   \n",
       "2     [, Nasiruddin Haqqani   A leader of the Haqqan...   \n",
       "3     [, Gul Agha Ishakzai, Mullah Gul Agha, Mullah ...   \n",
       "4     [, Amir Abdullah   Former Kandahar Province De...   \n",
       "...                                                 ...   \n",
       "3635                                                 []   \n",
       "3636                                                 []   \n",
       "3637                                                 []   \n",
       "3638                                                 []   \n",
       "3639  [Contact information: \\n Address: Zimbabwe, Ha...   \n",
       "\n",
       "                                      Birth information  \\\n",
       "0                                                         \n",
       "1      Birth date: Circa from 1977 to 1978  Birth pl...   \n",
       "2      Birth date: Circa from 1970 to 1973  Birth pl...   \n",
       "3      Birth date: Circa 1972  Birth place: Afghanis...   \n",
       "4      Birth date: Circa 1972  Birth place: Afghanis...   \n",
       "...                                                 ...   \n",
       "3635                                                      \n",
       "3636                                                      \n",
       "3637                                                      \n",
       "3638                                                      \n",
       "3639                                                      \n",
       "\n",
       "                                Citizenship information  \\\n",
       "0                                                         \n",
       "1     Citizenship information:\\n• Citizenship: Afgha...   \n",
       "2     Citizenship information:\\n• Citizenship: Afgha...   \n",
       "3     Contact information: \\n• Address: Pakistan  \\n...   \n",
       "4     Citizenship information:\\n• Citizenship: Afgha...   \n",
       "...                                                 ...   \n",
       "3635                                                      \n",
       "3636                                                      \n",
       "3637                                                      \n",
       "3638                                                      \n",
       "3639                                                      \n",
       "\n",
       "                                    Contact information  \n",
       "0                                                        \n",
       "1     Contact information: \\n• Address: Pakistan, Mi...  \n",
       "2     Contact information: \\n• Address: Pakistan  \\n...  \n",
       "3                                                        \n",
       "4     Contact information: \\n• Address: Pakistan, Ka...  \n",
       "...                                                 ...  \n",
       "3635                                                     \n",
       "3636                                                     \n",
       "3637                                                     \n",
       "3638                                                     \n",
       "3639                                                     \n",
       "\n",
       "[3640 rows x 7 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleanupDataframe(dbn_df)\n",
    "stripDataframe(dbn_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dbn_df.to_excel('NameCorpusPreparation.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(dbn_df['Identity information'][0])"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Split into Persons Dataframe and Company Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['EU Reference', 'Legal basis', 'Programme', 'Identity information', 'Birth information', 'Citizenship information', 'Contact information']\n"
     ]
    }
   ],
   "source": [
    "print(dbn_df.columns.tolist())"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datengrundlage für String Comparison Matching "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from thefuzz import fuzz, process \n",
    "import pandas as pd\n",
    "import itertools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                                                      []\n",
       "1       [, Sirajuddin Jallaloudine Haqqani   Na’ib Ami...\n",
       "2       [, Nasiruddin Haqqani   A leader of the Haqqan...\n",
       "3       [, Gul Agha Ishakzai, Mullah Gul Agha, Mullah ...\n",
       "4       [, Amir Abdullah   Former Kandahar Province De...\n",
       "                              ...                        \n",
       "3635                                                   []\n",
       "3636                                                   []\n",
       "3637                                                   []\n",
       "3638                                                   []\n",
       "3639    [Contact information: \\n Address: Zimbabwe, Ha...\n",
       "Name: Identity information, Length: 3640, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dbn_df['Identity information']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# datengrundlage preprocessing\n",
    "identityInformation = []\n",
    "for index, row in dbn_df.iterrows():\n",
    "    identityInformation.append(dbn_df['Identity information'][index])\n",
    "\n",
    "flatlists = list(itertools.chain.from_iterable(identityInformation))\n",
    "identityInformation2 = [string.split() for string in flatlists]\n",
    "flatlists2 = list(itertools.chain.from_iterable(identityInformation2))\n",
    "flatlists2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dbn_df.to_csv('EuropeanSanctions.csv', index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fuzzy string matching\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Search function\n",
    "def findBusinessPartner(input, name, threshold):\n",
    "    namelist = name.split(\" \")\n",
    "    print(namelist)\n",
    "    count = 0\n",
    "    resultlist = []\n",
    "    resultlist2 = []\n",
    "    resultlist3 = []\n",
    "    for name in namelist:\n",
    "\n",
    "        for i in input:\n",
    "        \n",
    "            if fuzz.ratio(i, name) >= threshold:\n",
    "                #print(fuzz.ratio(i, name), name, i)\n",
    "                resultlist.append([fuzz.ratio(i,name) ,name,i])\n",
    "            if fuzz.partial_token_sort_ratio(i, name) >= threshold:\n",
    "                resultlist2.append([fuzz.token_sort_ratio(i,name) ,name,i])\n",
    "            if fuzz.partial_ratio(i, name) >= threshold:\n",
    "                resultlist3.append([fuzz.partial_ratio(i, name), name, i])\n",
    "        \n",
    "                \n",
    "    resultlist.sort(key = lambda x: x[0], reverse = True)\n",
    "    if count == 0: \n",
    "        print(f'Your requested Business partner {name} with fuzzy threshold {threshold} cannot be found on the EU Sanctions List')\n",
    "    \n",
    "    resultlist.append(\"Fuzzy.ratio:\")\n",
    "    resultlist2.append(\"Fuzzy_token_set_ratio:\")\n",
    "    return resultlist, resultlist2, resultlist3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Sirajuddin']\n",
      "Your requested Business partner Sirajuddin with fuzzy threshold 70 cannot be found on the EU Sanctions List\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "([[95, 'Sirajuddin', \"'Sirajuddin\"],\n",
       "  [74, 'Sirajuddin', \"'Saduddin\"],\n",
       "  [70, 'Sirajuddin', 'Salamuddin'],\n",
       "  [70, 'Sirajuddin', \"'Najmuddin\"],\n",
       "  [70, 'Sirajuddin', \"'Saifuddin\"],\n",
       "  'Fuzzy.ratio:'],\n",
       " [[100, 'Sirajuddin', \"'Sirajuddin\"],\n",
       "  [80, 'Sirajuddin', \"'Nasiruddin\"],\n",
       "  [18, 'Sirajuddin', 'A'],\n",
       "  [70, 'Sirajuddin', \"Shamsuddin',\"],\n",
       "  [70, 'Sirajuddin', \"'Shamsuddin\"],\n",
       "  [18, 'Sirajuddin', 'J...'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [70, 'Sirajuddin', 'Hesamuddin'],\n",
       "  [46, 'Sirajuddin', 'Din'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [43, 'Sirajuddin', 'Rauf'],\n",
       "  [18, 'Sirajuddin', '(a...'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', \"'A...\"],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [61, 'Sirajuddin', 'Ghiassouddine'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', \"'A...\"],\n",
       "  [43, 'Sirajuddin', 'Rauf'],\n",
       "  [43, 'Sirajuddin', 'Rauf'],\n",
       "  [78, 'Sirajuddin', \"'Saduddin\"],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', 'a)'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', '(a)...'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'I...'],\n",
       "  [43, 'Sirajuddin', 'Siar...'],\n",
       "  [43, 'Sirajuddin', \"'Siar...\"],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [33, 'Sirajuddin', 'In...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [59, 'Sirajuddin', \"'Baudoin\"],\n",
       "  [18, 'Sirajuddin', 'a...'],\n",
       "  [18, 'Sirajuddin', 'a)'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [31, 'Sirajuddin', 'Int...'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [18, 'Sirajuddin', 'a)...'],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'J...'],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [57, 'Sirajuddin', 'Iran...'],\n",
       "  [18, 'Sirajuddin', 'I...'],\n",
       "  [31, 'Sirajuddin', 'Int...'],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [33, 'Sirajuddin', 'in...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [46, 'Sirajuddin', 'Ira...'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [18, 'Sirajuddin', 'S.'],\n",
       "  [57, 'Sirajuddin', \"'Rudi\"],\n",
       "  [57, 'Sirajuddin', \"'Rudi\"],\n",
       "  [18, 'Sirajuddin', \"'A...\"],\n",
       "  [43, 'Sirajuddin', 'Raja'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [46, 'Sirajuddin', 'Ira...'],\n",
       "  [33, 'Sirajuddin', 'ra...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [33, 'Sirajuddin', 'in...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'a...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'a...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [18, 'Sirajuddin', \"'U\"],\n",
       "  [31, 'Sirajuddin', 'Int...'],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [33, 'Sirajuddin', \"Ra',\"],\n",
       "  [33, 'Sirajuddin', \"Ju',\"],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', 'A'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [18, 'Sirajuddin', 'U'],\n",
       "  [18, 'Sirajuddin', 'I...'],\n",
       "  [18, 'Sirajuddin', 'U'],\n",
       "  [18, 'Sirajuddin', 'U'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [33, 'Sirajuddin', 'Di...'],\n",
       "  [18, 'Sirajuddin', 'r...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [33, 'Sirajuddin', 'In'],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [33, 'Sirajuddin', 'Ra...'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [18, 'Sirajuddin', 's...'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', 'i...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [53, 'Sirajuddin', 'SIRHA...'],\n",
       "  [53, 'Sirajuddin', 'Eddin'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [43, 'Sirajuddin', 'SARA'],\n",
       "  [18, 'Sirajuddin', \"'A...\"],\n",
       "  [33, 'Sirajuddin', 'in'],\n",
       "  [53, 'Sirajuddin', 'EDDIN'],\n",
       "  [33, 'Sirajuddin', 'In'],\n",
       "  [50, 'Sirajuddin', 'Eddine'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [31, 'Sirajuddin', 'Int...'],\n",
       "  [43, 'Sirajuddin', \"'Sara\"],\n",
       "  [74, 'Sirajuddin', \"'Isamuddin\"],\n",
       "  [18, 'Sirajuddin', \"'I...\"],\n",
       "  [70, 'Sirajuddin', 'Salamuddin'],\n",
       "  [70, 'Sirajuddin', \"'Fikiruddin\"],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
       "  [40, 'Sirajuddin', \"'Dinno\"],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [43, 'Sirajuddin', 'Udai'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [18, 'Sirajuddin', '(a)'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [18, 'Sirajuddin', '\"I...'],\n",
       "  [50, 'Sirajuddin', \"Eddine.'...\"],\n",
       "  [33, 'Sirajuddin', \"'Ra...\"],\n",
       "  [18, 'Sirajuddin', 'a...'],\n",
       "  [74, 'Sirajuddin', \"'Najmuddin\"],\n",
       "  [50, 'Sirajuddin', 'Eddine'],\n",
       "  [43, 'Sirajuddin', 'Sara'],\n",
       "  [18, 'Sirajuddin', \"'A...\"],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', \"'A.\"],\n",
       "  [18, 'Sirajuddin', 'J'],\n",
       "  [74, 'Sirajuddin', \"'Saifuddin\"],\n",
       "  [18, 'Sirajuddin', 'a...'],\n",
       "  [33, 'Sirajuddin', \"'Ra...\"],\n",
       "  [18, 'Sirajuddin', \"'I...\"],\n",
       "  [67, 'Sirajuddin', 'Rafiuddi...'],\n",
       "  [18, 'Sirajuddin', 'S.'],\n",
       "  [18, 'Sirajuddin', 'S.'],\n",
       "  [18, 'Sirajuddin', 'a...'],\n",
       "  [46, 'Sirajuddin', 'Din'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [46, 'Sirajuddin', 'Raj'],\n",
       "  [18, 'Sirajuddin', 'R...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', '(A...'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', '‘I...'],\n",
       "  [18, 'Sirajuddin', 'a...'],\n",
       "  [33, 'Sirajuddin', 'di...'],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [33, 'Sirajuddin', 'In...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [18, 'Sirajuddin', 'a'],\n",
       "  [18, 'Sirajuddin', 'N...'],\n",
       "  [18, 'Sirajuddin', 'D...'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [57, 'Sirajuddin', 'Iran'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [43, 'Sirajuddin', 'Iraq,'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [43, 'Sirajuddin', 'Iraq,'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', 'S...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', 'A...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [43, 'Sirajuddin', 'Iraq'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', 'U...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', 'I...'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
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       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  [18, 'Sirajuddin', '\\\\n'],\n",
       "  'Fuzzy_token_set_ratio:'])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#name = ' '\n",
    "name = input('gib dein scheiß hier ein')\n",
    "findBusinessPartner(n, name, 70)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Custom - Word2Vec\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gensim \n",
    "from gensim.models import Word2Vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#vocabulary preprocessing\n",
    "vocabulary = dbn_df['Identity information'].tolist()\n",
    "vocabulary\n",
    "\n",
    "# Creating Word2Vec\n",
    "model = Word2Vec(\n",
    "    sentences = vocabulary, min_count=1, vector_size= 5, workers=3, window =3, sg = 1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.07092681  0.02925611 -0.19436376 -0.18354529  0.1176023 ]\n"
     ]
    }
   ],
   "source": [
    "print(model.wv[\"Khalifa\"])\n",
    "#vocabulary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Александр Михайлович НОСАТОВ', 0.9911066293716431),\n",
       " ('Андрей Анатольевич ТУРЧАК', 0.9794019460678101),\n",
       " ('Вадзім Сяргеевіч ПРЫГАРА', 0.9791255593299866),\n",
       " ('Александр Евгеньевич ШАТРОВ', 0.9780207872390747),\n",
       " ('Yong Chol Kim   KOMID Representative. Served as the KOMID Representative in Iran.',\n",
       "  0.9755300879478455)]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.wv.most_similar(\"Khalifa\", topn=5)\n",
    "# verfälschtes ergebniss da in der ausgabe neben den namen auch andere informationen stehen die vektorisiert wurden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib \n",
    "from matplotlib import pyplot as plt\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "c:\\Users\\DELSTEI9\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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v0noiYkRE/HZ1t7uqDHNSKyKCn/zkJ3zjG9/gzTffZMmSJXz729/mhz/8YZtv6+abb+b73/8+t956Kw899BD33HMPG220UZtvp8G5557LXXfdxQ033EDPnj25/PLLGThwhb8zP7AHH3yQgw8+mEmTJjF06FCOOeYYtttuO+bMmcNTTz1F3759OfbYYxvr9+3bl5tuuqnx9eTJkxk0aFCL67/gggt44IEHePzxxxk6dCh77703S5cubbbuxIkTeeCBBzjxxBMZP378avctM1m2bNlqr6c1HzTMZebUzDyvjZtzKLAlsFNm7ggcCLyysgtHRPc2bk9bOIqiT20qIr4MnAKMAt6keOrReZk5ABgCfAo4sWaRhyiejtTgcOCBVjaxV3kMhgPbAT9tod4bmblzZg4GXgJO+gDdWU5ErNaDB1bSWGBlfjEtVy8zz8zM36/uxttqPe29rwxz0goMHjyYAw44gPPPP59zzjmHI444glNPPZWddtqJXXfdlQcffBAoRoq+8pWvMGLECLbbbjsuueSSxnV897vfZcCAAeyxxx4cfvjhjSNKtf7jP/6DCy+8kC23LP6e9OzZk+OOO65x/uTJkxk+fDg77LADd9xxBwBvvvkmRx99dONI3u23375Sfbrooou4+eabufHGG1l33XWB5Uf/NthgA8aPH8+gQYPYZ599mDFjRmO/pk5d9SfwPfroo4wdO5arr76a4cOHM2fOHGbOnMkZZ5zRWOfMM8+kvr6ep556CoD11luPT3ziE41tmjRpEocccsgKtxURfP3rX2fzzTdfbkS1ObvtthvPP188Hvrvf/87X/nKVxg+fDhDhw5lypQpAFx55ZWMGTOGESNG0L9/f77zne8AxejhgAEDGDduHIMHD+a5557jggsu4JOf/CQ77bQTZ511VuN699tvP4YMGcLgwYOZNGkSUIxSfvrTn2bYsGGMGjWK+fPnA8Vx+Na3vrXcsV66dClnnnkmkyZNYuedd2bSpEnMmDGD3XbbjaFDh/KpT32Kxx9//H31gE3K0Z5LI2KjiHgmIrqV+2n9iHguInpExPYR8bty9OiOiPj4CnbzFsD8zFwGkJnzMvPlcr2fiYi7I+K+iJgcERuU5XMj4vyIuA8YHxEzao5Zn4h4qJweFhF/KttyS0RsUVP+QEQ8QAtBJCI2iIjbym0/FBFjavp6U7n87Ig4tMlyBwN1wMRy9GrdctYpNev6eM26roiIGRFxf8M2WmjPIcBpwGcycxHwz8BdmXlrud9eB04u6zS4AxheHpcNgH7ArFaPRrGuJcAJwNiI6LWC6ncDW5VtbPbYR8SVEfGTiKiPiCciYv+y/KiImBoRfwBua2l/lCOQM8r9+WBE9C/Lj6gp/2lDsI+IJRHxvfIY3RMRm0XEp4DPAxeU9bePYpTz3rLedRGxXgv1royIgyNidERMrjkmjSNnLb1XmxzDK+O9UdG5EfGdpu+JlkTE2RFxdUTcBVxdvs/vKJe/r2x3Q5v+GBG/jojHImJiRDFau9Iy80P/NWzYsJQ60pIlS3KHHXbIwYMH5wknnJBnn312ZmbedtttOWTIkMzMPOuss3K33XbLN998MxcuXJi9evXKpUuX5owZM3LIkCH5xhtv5Kuvvpr9+vXLCy644H3b2GSTTfKVV15pdvuf/vSn8xvf+EZmZt500005cuTIzMy88MIL8+ijj87MzEcffTS32WabfOONN/L222/P/fbb733ruf3223PjjTfOfv365eLFi9+3jXvvvTczM4GcNm1aZmaOHTs2991331y6dGnOmjWrsb8ra9ttt81NNtkkb7rppsayKVOm5NixY99Xd+zYsTllypR8+umnc9CgQTllypQ89dRT89lnn8299947f/7zn+dJJ52UmcX+btiPRx55ZE6ePHm5dX3ta1/L8847733bqO3nxRdfnBMmTMjMzAkTJuTVV1+dmZkvv/xy9u/fP5csWZI///nPc/PNN89Fixbl66+/noMGDcp77703n3766YyIvPvuuzMz85Zbbsnjjjsuly1blu+++27ut99++ac//Sl//etf57HHHtu4/VdeeSWXLl2au+22Wy5YsCAzM6+55prG49jSsa7te2bm4sWL8+23387MzOnTp+dBBx30vnpAPcWI06XFS6ZQjORAMbp2eTl9G9C/nP5H4A/Zyu9kYGtgLkXIuAgYWpZvCvwZWL98/S3gzHJ6LvDNmnXMAvrW1Dsd6AH8P6B3TRuvKKcfBP6pnL4AmN1Mu9YCPlLTljlAAF8AflZTb6Nmlv0jUFfzei5wSjl9Ys2++nfgiHJ6Y+CJhv7WLNsHeA1YAGxVU/5fwNea2fbLwEcajlVZb3/gS8BZwJXAwU3bWbZx0ybrmgX8YzPbWFJ+7w5MBka3duzLbf6OYtCnPzAPWKds4zygV2v7g+JRn18qy9cG1gU+AdwI9CjLfwSMK6cTOKCc/k/g9Jp2HFzTj4/WTJ9bc4ya1rsSOJjiPfEs770nfwwcQSvv1Sb7rXbfz6WZ90ST+iOA35bTZwMzgXXL1+sB65TT/YH6mmUWU/xcdaMI23u09jPY9GtNDJFKlbf++utz6KGHssEGG/CrX/2K6667DoC9996bv/3tb7z66qsA7LfffvTs2ZOePXvysY99jBdffJG77rqLMWPGsM4667DOOutwwAEHfKA2HHTQQQAMGzaMuXPnAnDnnXdyyimnAPDxj3+cbbfdlieeeKLV9fTr14+XX36Z6dOn84UvfKHZOmuvvXbjdYE77rgjPXv2pEePHuy4446N214V++yzD5dffjmjRo2ie/eVP8M2evRozjjjDDbbbDMOPfTQFS9Qo/wl2awvfelLLF26lCVLljReM3frrbcyderUxlHTN998k2effRaAfffdl49+9KNAcRzuvPNOxo4dy7bbbsuuu+7auPytt97K0KFDAViyZAlPPvkke+65J6eeeirf+ta32H///dlzzz2ZPXs2s2fPZt999wXg3XffZYsttmhsX3PHuqnFixdz5JFH8uSTTxIRvP322yuzWyZRBKTbKU7l/agcjfgUMLlmMKBnayvJzHkRMQDYu/y6LSK+SPEHeyBwV7mutSn+MNVuv8G1ZVvOK78fCgwABgPTy+W7A/OjuL5r48z8c7ns1cBnm2laAP8eEf8ELKMYfdqM4tTlRRFxPsUf2jta61+N68vvM4GDyunPAJ+PiH8tX68D/APwaJNlF1KczjwEuHglt9fgGuB/AxsBpwLfXoVlWxrRWTciZlHsk0cp9vGKjv21WYy+PhkRfwUaRqKmZ+ZL5XRL++Nu4N8iYmvg+sx8MiJGAsOAe8vtrUsReAGWAg3Xms0E9m2hH4Mj4lyK4LgBxbPeW5SZ70TE74ADIuLXwH7AN4FP0/p7tSXNvSdaMzUz3yinewCXRsTOwLvADjX1ZmTmPIDyOPUB7lyJ9QMY5qSV1a1bN7p1a/3KhJ493/s92L17d955552VXv+gQYOYOXMme++9d6vrXtX1NrXZZpsxceJERo4cSa9evdhrr73eV6dHjx40/HLv1q1b47a7dev2gbZ96aWXcsIJJ3DiiSfy05/+lIEDBzJr1iyWLVvWuE+XLVvGrFmzlrtub+2112bYsGFcdNFFPPLII6t0ivf+++9n5MiRzc6bOHEiw4YNY/z48Zxyyilcf/31ZCbXXXcdAwYMWK7uX/7yF5qe8Wh4vf766zeWZSYTJkzgq1/96vu2d9999zFt2jROP/10Ro4cyYEHHsigQYO4++7m/3aszLE+44wz2GuvvbjhhhuYO3cuI0aMaH5HLG8qRdjpRfFH9Q8UoyivZObOK7OCBpn5FnAzcHNEvEhxzdKtFH/oD29hsb/XTE+iCBHXF6vLJyNiR+DhzNytdqFY+Yv1vwT0BoZl5tsRMZdiJOSJiNgF+BxwbkTclpnnrMT63iq/v8t7fy8D+EJmPr6CZV8vt3dHRCzIzInAI8A/1VaKiO0oRs1ebXhfZeaMcl+8XrZ9JZoKEbEhRQho7j+6NzJz54hYjyIAnUQx6tTasW/6H1HD69rj2NL+eDQi/kIRnqZFxFfLuldl5oRmtvV2vvcfWO3+bupKYGxmPhARR1GMaq3INRSns1+iGA17rTyN2dp7tSXNvSdaU7uvvg68SHGtZDeKayibrndV1t3Ia+akVbTnnnsyceJEoLg7dNNNN+UjH/lIi/V33313brzxxsYbKH772+ZvdJowYQLjx4/nhRdeAGDp0qVcfvnlK92WJ554gmefffZ9YaQ5O+ywA9dffz1HHHHEGrmbs1u3bvzyl7/kscce48wzz6Rfv34MHTqUc889t7HOueeeyy677EK/fv2WW/bUU0/l/PPPp1evFV0GVMhMLrnkEubPn9/qXccRwXe/+13uueceHnvsMUaNGsUPfvCDxhG9+++/v7Hu9OnTeemll3jjjTf4zW9+w+677/6+9Y0aNYorrriCJUuWAPD888+zYMEC/ud//of11luPI444gvHjx3PfffcxYMAAFi5c2Bjm3n77bR5++OFW+7Xhhhvy2muvNb5evHgxW221FVBc19dSvSb7ZglwL/B/KEao3s3MV4Gny5E1ojCktbZExC5R3vkZxTV4OwHPAPcAu0dEv3Le+hGxQ3PryMynKP5oncF7I3aPA70jYrdy+R4RMSgzXwFeiYg9ynpfaqFpGwELyiC3F7BtuZ4tKYLR/6U4RbtLM8u+BmzYWr9Lt1BcS9dwB+rQlipm5gJgNEWAHgVMBPaI8u7IKK7Nu4TitGJTp7EKI3LlKNuPgN9kef1iC216nWLU71SKwNnasf9iFHcub09xc0VzAbbZ/VGG1L9m5iUUp/d3ojile3BEfKys0ysitl1B15oelw0pRmt7sPz7oLXj9yeKY34cRbCDVXivtqGNeO9a0y9TjDy3iWjtVMSHRUQspPhF8UFtCixqo+ZUjX1vO1tS/PFZRPHfb0+KUznPAG/UzH+xrD8IeJLi9MGWQC/gbeAdiusjmmvbR4HNa14vKtc3AHiO4pfvWhTXnjxE8Z/uthTXYlDWeY3i2ot1KK4ZqrUhxWmnhvKPlMs/UfapYRtDgYY007RftfNWxo4Up3XeofjlNYD3TkH9A8XIEBT/wT5bbmttimtKmiacj5b1n23Srj5l34LimPyd4rqe5s491u5LKPbHOuU6G9oTFP8pzym3uXHZ9rWBvwHzW2jjxyjed5TteJrifbJ1WZYU75fXKU4x/UO53ij7sYiWj3V3itMyUW5/KdC33M4r5bZnNan3DsUf7rrMPBkaL/afDIzIzD+VZX0priXaguJU0DWZeU5EfL5c9szaHRgRo4Hv8d4puRnAiZn5ZkTsDZxfM+/0zJxajpLVZXEjQMN6/pUiXPXNzLll2c4UAWejsv/fz8yfRcQw4IpyH94KfC6LOzNr27UpxTVZG1BcL7grxenYAeV2llG8J/5XZtY3WfYLFNd/vQHsRvGercvMRVF8FMiFmTmiDGDfpzg92Q14OjP3b7KuPhRheXD5eggwjeKu3zcorifbojxWVwPnZGaWI02Nx6pmfVeW6/t1RPwR+NfMrC/36WsUx7obcAPw3cysHfFpWMeSzNyg5vWNFKe676T5Y38lxchRHcXviW9k5m+btrGl/RHFx+F8udzfLwD/nJkvRXHzyYSy7tvASZl5T237yvfo/pl5VETsDvyM4ufxYIrTut+k+B3yF2DDFuqd0bDPynVeSnG938fKQEtL79VW9v1cmnlPNKk/ojw++0fE2RSjrheW8/oD11G8h39X9n2D2mVq2lqfmVdGxDnldKunJSoR5lZXRNRnZl1Ht6Mj2PcPR98jYoPMXFKe4vgzcHxm3teO2/vQ9H1Nao9+t/QH9sOmqx5ztY/aENPRbdGKec2ctGZcFsUHWq5Dcc1IuwU5SVLXYpiT1oDM/OeOboM+mMy8kuKia6nLyMyjOroNWnld5QaIyzq6AR3IvndNXbXvXbXf0LX7LnVpXeKaOUmSpM6qq4zMSZIkdUqGOUmSpArrVGEuIi6I4iG1D0bEDbWfGh4REyJiTkQ8Xn54Y0P56LJsTvm5OJUUEV+MiIcjYln5+Te18zp135vqrP1qEMVDrRdExOyasl4RMT0iniy/b1KWR0RcUu6LB6P4FPzKiohtIuL2iHikfL9/rSzv9P2PiHWieED5A2Xfv1OW942Iv5R9nBQRa5flPcvXc8r5fTq0A5LaTacKc8B0YHBm7kTxIagTAMqPhDiM4kNcR1M8j7B7RHQHfkjxoZIDgcPLulU0m+I5cX+uLewifW/UWfvVxJUUx7LWacBtmdmf4lPWG0LsZyk+2LY/cDzFh4NW2TvAqZk5kOIDYU8qj29X6P9bwN6ZOQTYGRgdEbtSfOjpxZnZj+KB7ceU9Y8BXi7LLy7rSeqEOlWYy8xbM7PhQYb38N6nro+h+FTrtzLzaYpPdR9efs3JzL9m5lKKx3yMWdPtbguZ+WgLzwrs9H1vorP2q1EWDxt/qUnxGOCqcvoqiudkNpT/Igv3ABtHxBZUVGbOb/iMvsx8jeJT+reiC/S/7MOS8mWP8ispHnTf8MGuTfvesE9+DYyMWMmHfEqqlE4V5pr4CsVDoKH4Zf9czbx5ZVlL5Z1JV+t7Z+3XimyWmfPL6RcoHlEFnXh/lKcNh1I80qdL9L8cVZ8FLKA4E/EUxYPSG/6Jre1fY9/L+YspHk0mqZOp3IcGR8TvWf7ZlQ3+LTOnlHX+jeJ0zMQ12bb2tjJ9l8pnPHbqzxyK4qHi1wH/kpmv1g44deb+Z+a7wM7l9cA3AB/v2BZJ+jCoXJjLzH1am18+R3F/YGS+9yF6zwPb1FTbuiyjlfIPnRX1vQWdou+roLX+dmYvRsQWmTm/PI24oCzvdPsjInpQBLmJmXl9Wdxl+g+Qma9ExO0UD4TfOCLWKkffavvX0Pd5EbEWxYPr/9YhDZbUrjrVadaIGA18E/h8Zr5eM2sqcFh5d1dfiouhZwD3Av3Lu8HWprhRYOqabnc762p976z9WpGpwJHl9JHAlJryceVdnbsCi2tOR1ZOec3XfwOPZuZ/1czq9P2PiN7liBwRsS6wL8U1g7cDB5fVmva9YZ8cDPyh5h9cSZ1I5UbmVuBSoCcwvTztck9mnpCZD0fEtcAjFKdfTypPVxARJwO3AN2BKzLz4Y5p+uqJiAOBHwC9gZsiYlZmjuoKfa+Vme90xn7ViohfASOATSNiHnAWcB5wbUQcAzwDHFJWnwZ8juLGl9eBo9d4g9vW7sCXgYfKa8cAvk3X6P8WwFXlHdvdgGsz87cR8QhwTUScC9xPEXYpv18dEXMobpg5rCMaLan9+TgvSZKkCutUp1klSZK6GsOcJElShRnmJEmSKswwJ0mSVGGGOUmSpAozzEmSJFWYYU6SJKnC/j+MAbtD+e81mgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
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     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# test for visualization (not useful approach)\n",
    "\n",
    "def display_closestwords_tsnescatterplot(model, word, size):\n",
    "    \n",
    "    arr = np.empty((0,size), dtype='f')\n",
    "    word_labels = [word]\n",
    "    close_words = model.wv.similar_by_word(word)\n",
    "    arr = np.append(arr, np.array([model.wv[word]]), axis=0)\n",
    "    for wrd_score in close_words:\n",
    "        wrd_vector = model.wv[wrd_score[0]]\n",
    "        word_labels.append(wrd_score[0])\n",
    "        arr = np.append(arr, np.array([wrd_vector]), axis=0)\n",
    "        \n",
    "        tsne = TSNE(n_components=2, random_state=0, perplexity=4)\n",
    "        np.set_printoptions(suppress=True)\n",
    "        Y = tsne.fit_transform(arr)\n",
    "        x_coords = Y[:, 0]\n",
    "        y_coords = Y[:, 1]\n",
    "        plt.scatter(x_coords, y_coords)\n",
    "    for label, x, y in zip(word_labels, x_coords, y_coords):\n",
    "        plt.annotate(label, xy=(x, y), xytext=(0, 0), textcoords='offset points')\n",
    "        plt.xlim(x_coords.min()+0.00005, x_coords.max()+0.00005)\n",
    "        plt.ylim(y_coords.min()+0.00005, y_coords.max()+0.00005)\n",
    "        plt.show()\n",
    "display_closestwords_tsnescatterplot(model, 'Khalifa', 5) "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10 (v3.8.10:3d8993a744, May  3 2021, 08:55:58) \n[Clang 6.0 (clang-600.0.57)]"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}