4-clusterfun.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "mature-cemetery",
   "metadata": {},
   "source": [
    "# Manual Analysis of Specific Groups\n",
    "\n",
    "The strategy is to take the naive bayes confusion matrices and get just the rows and columns corresponding to specific languages. This way, a smaller confusion matrix can be created, visualized and analyzed manually."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "plain-notice",
   "metadata": {},
   "source": [
    "Contents\n",
    "- [Balkan Sprachbund](#Balkan-Sprachbund)\n",
    "    - [Non-anonymized heatmap](#Non-anonymized-Balkan)\n",
    "    - [Anonymized heatmap](#Anonymized-Balkan)\n",
    "- [Romance languages (+ Latin)](#Romance-languages-(+-Latin))\n",
    "    - [Non-anonymized heatmap](#Non-anonymized-Romance)\n",
    "    - [Anonymized heatmap](#Anonymized-Romance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cosmetic-world",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "corporate-metabolism",
   "metadata": {},
   "source": [
    "## Balkan Sprachbund\n",
    "It's more Bosnian and Serbian that are included in the Sprachbund than Croatian, but I included Croatian all the same as a comparison point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "complete-variation",
   "metadata": {},
   "outputs": [],
   "source": [
    "codes = ['sq', 'mk', 'bg', 'bs', 'hr', 'sr', 'el', 'ro'] # language codes I want\n",
    "langs = ['albanian', 'macedonian', 'bulgarian', 'bosnian',  # matching names\n",
    "         'croatian', 'serbian', 'greek', 'romanian']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "gorgeous-vegetarian",
   "metadata": {},
   "outputs": [],
   "source": [
    "# read in the data on which NB ran to get the list of language codes included in the data\n",
    "f = open('data/chunks.pkl', 'rb')\n",
    "df = pickle.load(f)\n",
    "f.close()\n",
    "labels = sorted(df['lang'].unique().tolist())\n",
    "df = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "demographic-offering",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ab', 'ace', 'af', 'als', 'am']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels[:5] # preview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "indonesian-blast",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[204, 136, 23, 30, 82, 205, 50, 182]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# figure out which matrix indices correspond to the desired language codes\n",
    "indices = [labels.index(l) for l in codes]\n",
    "indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "light-cologne",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('matrix_nonanonNBbis.pkl', 'rb') # read in nonanon matrix\n",
    "allmat = pickle.load(f)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "studied-niger",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9.942e-01, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 1.000e-04,\n",
       "        4.000e-04, 0.000e+00],\n",
       "       [0.000e+00, 9.872e-01, 0.000e+00, 0.000e+00, 0.000e+00, 1.160e-02,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 9.982e-01, 0.000e+00, 0.000e+00, 1.100e-03,\n",
       "        1.000e-04, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 5.981e-01, 3.828e-01, 1.000e-04,\n",
       "        1.000e-04, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 2.365e-01, 7.301e-01, 0.000e+00,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 3.300e-03, 0.000e+00, 5.520e-02, 2.570e-02, 9.034e-01,\n",
       "        0.000e+00, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        9.981e-01, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 9.929e-01]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat = allmat[indices][:, indices] # get desired rows/columns\n",
    "mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "vocal-joyce",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('matrix_anonNBbis25.pkl', 'rb') # read in anon matrix\n",
    "allanon = pickle.load(f)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "christian-ticket",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9.542e-01, 0.000e+00, 0.000e+00, 0.000e+00, 2.000e-04, 3.000e-04,\n",
       "        0.000e+00, 2.000e-04],\n",
       "       [0.000e+00, 7.871e-01, 1.404e-01, 2.710e-02, 9.300e-03, 9.000e-04,\n",
       "        0.000e+00, 2.000e-04],\n",
       "       [0.000e+00, 1.036e-01, 8.589e-01, 4.800e-03, 4.200e-03, 3.000e-04,\n",
       "        3.000e-04, 0.000e+00],\n",
       "       [1.000e-04, 2.330e-02, 5.300e-03, 7.813e-01, 1.750e-02, 8.200e-03,\n",
       "        0.000e+00, 3.000e-04],\n",
       "       [3.000e-04, 1.700e-02, 1.140e-02, 1.620e-02, 7.270e-01, 1.539e-01,\n",
       "        1.000e-04, 1.000e-04],\n",
       "       [3.500e-03, 3.200e-03, 2.800e-03, 3.100e-03, 7.410e-02, 7.719e-01,\n",
       "        0.000e+00, 1.000e-04],\n",
       "       [0.000e+00, 1.000e-04, 1.000e-04, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        9.873e-01, 0.000e+00],\n",
       "       [0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00, 0.000e+00,\n",
       "        0.000e+00, 8.912e-01]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon = allanon[indices][:, indices] # get desired rows/columns\n",
    "anon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "addressed-depression",
   "metadata": {},
   "source": [
    "### Non-anonymized Balkan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "considered-jackson",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))    # make nonanon heatmap      \n",
    "sns.heatmap(mat, square=True, annot=True , cmap=\"Reds\",\n",
    "           xticklabels=langs, yticklabels=langs, ax=ax)\n",
    "plt.savefig('figs/balkansNonanon.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "handy-insertion",
   "metadata": {},
   "source": [
    "### Anonymized Balkan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "identified-vision",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))   # make anon heatmap      \n",
    "sns.heatmap(anon, square=True, annot=True , cmap=\"Reds\",\n",
    "           xticklabels=langs, yticklabels=langs, ax=ax)\n",
    "plt.savefig('figs/balkansAnon.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "complimentary-flush",
   "metadata": {},
   "source": [
    "## Romance languages (+ Latin)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "narrative-outdoors",
   "metadata": {},
   "outputs": [],
   "source": [
    "codes = ['it', 'fr', 'ca', 'es', 'pt', 'ro', 'la'] # desired codes\n",
    "langs = ['italian', 'french', 'catalan', 'spanish', # and language names\n",
    "         'portuguese', 'romanian', 'latin']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "threaded-parcel",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[96, 61, 33, 54, 179, 182, 116]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indices = [labels.index(l) for l in codes] # get matrix indices corresponding to the codes\n",
    "indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "physical-vulnerability",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9.955e-01, 0.000e+00, 0.000e+00, 1.000e-04, 0.000e+00, 0.000e+00,\n",
       "        2.000e-04],\n",
       "       [8.000e-04, 9.954e-01, 2.000e-04, 3.000e-04, 1.000e-04, 1.000e-04,\n",
       "        1.000e-04],\n",
       "       [4.000e-04, 3.000e-04, 9.944e-01, 1.100e-03, 2.000e-04, 0.000e+00,\n",
       "        0.000e+00],\n",
       "       [0.000e+00, 1.000e-04, 2.000e-04, 9.939e-01, 1.000e-04, 0.000e+00,\n",
       "        1.000e-04],\n",
       "       [0.000e+00, 1.000e-04, 0.000e+00, 2.000e-04, 9.962e-01, 0.000e+00,\n",
       "        3.000e-04],\n",
       "       [4.000e-04, 2.000e-04, 0.000e+00, 2.000e-04, 0.000e+00, 9.929e-01,\n",
       "        5.000e-04],\n",
       "       [1.400e-03, 2.000e-03, 4.000e-04, 3.000e-04, 1.000e-04, 0.000e+00,\n",
       "        9.894e-01]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat = allmat[indices][:, indices] # preview for nonanon\n",
    "mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "preliminary-router",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9.455e-01, 1.000e-04, 8.000e-04, 0.000e+00, 3.400e-03, 1.000e-04,\n",
       "        5.000e-04],\n",
       "       [0.000e+00, 9.869e-01, 0.000e+00, 0.000e+00, 0.000e+00, 5.000e-04,\n",
       "        3.000e-04],\n",
       "       [1.000e-04, 0.000e+00, 9.590e-01, 0.000e+00, 0.000e+00, 1.400e-03,\n",
       "        2.000e-04],\n",
       "       [1.000e-04, 0.000e+00, 0.000e+00, 9.589e-01, 4.000e-04, 0.000e+00,\n",
       "        0.000e+00],\n",
       "       [1.500e-03, 2.000e-04, 1.000e-04, 1.000e-04, 9.380e-01, 0.000e+00,\n",
       "        2.000e-04],\n",
       "       [0.000e+00, 3.000e-04, 4.100e-03, 0.000e+00, 0.000e+00, 8.912e-01,\n",
       "        3.000e-04],\n",
       "       [9.000e-04, 3.000e-03, 6.100e-03, 0.000e+00, 5.000e-04, 5.000e-04,\n",
       "        9.326e-01]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anon = allanon[indices][:, indices] # preview for anon\n",
    "anon"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "approved-husband",
   "metadata": {},
   "source": [
    "### Non-anonymized Romance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "persistent-penguin",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))    # plot for nonanon      \n",
    "sns.heatmap(mat, square=True, annot=True , cmap=\"Reds\",\n",
    "           xticklabels=langs, yticklabels=langs, ax=ax)\n",
    "plt.savefig('figs/romanceNonanon.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "supported-wisconsin",
   "metadata": {},
   "source": [
    "These languages are more commonly confused with each other than the Balkan Sprachbund ones, likely in no small part because they all use the Latin writing system. Romanian was confused the most as being Latin (with Italian close behind), while Latin was by far confused the most as being Italian. Catalan was confused almost four times more with Spanish than with French. French was mistaken the most often for Italian. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "duplicate-association",
   "metadata": {},
   "source": [
    "### Anonymized Romance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "located-suggestion",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))         # plot for anon\n",
    "sns.heatmap(anon, square=True, annot=True , cmap=\"Reds\",\n",
    "           xticklabels=langs, yticklabels=langs, ax=ax)\n",
    "plt.savefig('figs/romanceAnon.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "partial-currency",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}