{ "cells": [ { "cell_type": "markdown", "source": [], "metadata": { "collapsed": false }, "id": "1d78bbcc6a4392cd" }, { "cell_type": "markdown", "source": [ "## Importing the libraries" ], "metadata": { "collapsed": false }, "id": "93d70c03bd59ccaf" }, { "cell_type": "code", "execution_count": 1, "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.289105Z", "start_time": "2024-06-02T14:20:38.108557Z" } }, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "import pandas as pd\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "source": [ "## Importing the dataset" ], "metadata": { "collapsed": false }, "id": "e004f72e190b83ac" }, { "cell_type": "code", "outputs": [], "source": [ "dataset = pd.read_csv('EconomyNextAllNews_with_sentiments.csv')" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.402394Z", "start_time": "2024-06-02T14:20:41.291113Z" } }, "id": "87518dc389f0607f", "execution_count": 2 }, { "cell_type": "code", "outputs": [], "source": [ "dataset['sentiment_score'] = dataset['sentiment_score'].round()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.408006Z", "start_time": "2024-06-02T14:20:41.403403Z" } }, "id": "8eed951376f031ca", "execution_count": 3 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "Headline 0\nDate 0\nIndustry 0\nNews Description 0\ncombined_text 0\nsentiment 0\nsentiment_score 0\ndtype: int64" }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.isnull().sum()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.427507Z", "start_time": "2024-06-02T14:20:41.409016Z" } }, "id": "c6f146a3d696d7a6", "execution_count": 4 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": " Headline Date \\\n0 Sri Lanka needs energy transition law so priva... 2024-05-30 \n1 Singapore team to help improve Sri Lanka immig... 2024-05-30 \n2 Sri Lanka tourists to get 60-day visa free ent... 2024-05-30 \n3 Reyaz Mihular chairman of Sri Lanka's Watawala... 2024-05-30 \n4 Sri Lanka rupee opens lower at 301.60/75 to US... 2024-05-30 \n\n Industry News Description \\\n0 Energy Enhance institutional capacity, regulatory fra... \n1 Economy Will facilitate Sri Lanka's efforts to moderni... \n2 International Relations The visa will also allow foreign students of h... \n3 Agriculture Mihular, a chartered accountant, appointed cha... \n4 Bonds & Forex Bond yields were steady. \n\n combined_text sentiment \\\n0 Sri Lanka needs energy transition law so priva... positive \n1 Singapore team to help improve Sri Lanka immig... positive \n2 Sri Lanka tourists to get 60-day visa free ent... positive \n3 Reyaz Mihular chairman of Sri Lanka's Watawala... positive \n4 Sri Lanka rupee opens lower at 301.60/75 to US... positive \n\n sentiment_score \n0 1.0 \n1 1.0 \n2 1.0 \n3 1.0 \n4 1.0 ", "text/html": "
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HeadlineDateIndustryNews Descriptioncombined_textsentimentsentiment_score
0Sri Lanka needs energy transition law so priva...2024-05-30EnergyEnhance institutional capacity, regulatory fra...Sri Lanka needs energy transition law so priva...positive1.0
1Singapore team to help improve Sri Lanka immig...2024-05-30EconomyWill facilitate Sri Lanka's efforts to moderni...Singapore team to help improve Sri Lanka immig...positive1.0
2Sri Lanka tourists to get 60-day visa free ent...2024-05-30International RelationsThe visa will also allow foreign students of h...Sri Lanka tourists to get 60-day visa free ent...positive1.0
3Reyaz Mihular chairman of Sri Lanka's Watawala...2024-05-30AgricultureMihular, a chartered accountant, appointed cha...Reyaz Mihular chairman of Sri Lanka's Watawala...positive1.0
4Sri Lanka rupee opens lower at 301.60/75 to US...2024-05-30Bonds & ForexBond yields were steady.Sri Lanka rupee opens lower at 301.60/75 to US...positive1.0
\n
" }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dataset.head()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.442155Z", "start_time": "2024-06-02T14:20:41.429520Z" } }, "id": "d426e56eb2425afd", "execution_count": 5 }, { "cell_type": "markdown", "source": [ "## Label distribution" ], "metadata": { "collapsed": false }, "id": "6e68873ec220a441" }, { "cell_type": "code", "outputs": [], "source": [ "def plot_percentage(df, column):\n", " \"\"\"\n", " Plots the percentage of values in a specified column of a DataFrame.\n", " \n", " Parameters:\n", " df (pd.DataFrame): The DataFrame containing the data.\n", " column (str): The name of the column to plot.\n", " \"\"\"\n", " # Count the occurrences of each unique value\n", " value_counts = df[column].value_counts()\n", " \n", " # Calculate the percentage of each unique value\n", " percentages = (value_counts / value_counts.sum()) * 100\n", " \n", " # Plotting\n", " plt.figure(figsize=(10, 6))\n", " percentages.plot(kind='bar', color='skyblue')\n", " plt.title(f'Percentage of Values in {column}')\n", " plt.xlabel(column)\n", " plt.ylabel('Percentage (%)')\n", " plt.xticks(rotation=45)\n", " plt.show()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.448587Z", "start_time": "2024-06-02T14:20:41.444165Z" } }, "id": "bc6e621769a1cb2f", "execution_count": 6 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "
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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_percentage(dataset, 'sentiment_score')" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.596258Z", "start_time": "2024-06-02T14:20:41.449599Z" } }, "id": "c655293b6f06dd97", "execution_count": 7 }, { "cell_type": "markdown", "source": [ "## Splitting the dataset" ], "metadata": { "collapsed": false }, "id": "45b990171afe18cb" }, { "cell_type": "code", "outputs": [], "source": [ "train_eval, test = train_test_split(dataset, test_size=0.2, random_state=42, stratify=dataset['sentiment_score'])" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.611718Z", "start_time": "2024-06-02T14:20:41.597271Z" } }, "id": "9fefa5bcef64e309", "execution_count": 8 }, { "cell_type": "code", "outputs": [], "source": [ "train, eval = train_test_split(train_eval, test_size=0.1, random_state=42, stratify=train_eval['sentiment_score'])" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.623335Z", "start_time": "2024-06-02T14:20:41.612726Z" } }, "id": "9449a18cbe89179f", "execution_count": 9 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "-1.0 12307\n 1.0 4065\nName: sentiment_score, dtype: int64" }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train['sentiment_score'].value_counts()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:41.630909Z", "start_time": "2024-06-02T14:20:41.624348Z" } }, "id": "baeb034440869390", "execution_count": 10 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "
", "image/png": 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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_percentage(train, 'sentiment_score')" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:47.777992Z", "start_time": "2024-06-02T14:20:47.672636Z" } }, "id": "701db3c3c64a8ff9", "execution_count": 11 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "-1.0 1368\n 1.0 452\nName: sentiment_score, dtype: int64" }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "eval['sentiment_score'].value_counts()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:49.408147Z", "start_time": "2024-06-02T14:20:49.400428Z" } }, "id": "7043ad7404b96e6b", "execution_count": 12 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "
", "image/png": 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33nuv3n77bT344IN6+umnFR0drZ49e6p3797On0cF+Vnyyy+/KDQ0VOXKlXMZzz3V9uJCFx4e7nL/t99+U1pamubOnau5c+fmu4/LfT8DKHmUJADF4pZbblHz5s3zXZaTkyObzaYvv/zS+Uu1lb+/v8t96xGawsjJyVFwcLDef//9fJdfXD7yyyIpz4XZ+UlLS1P79u0VEBCg8ePHq1atWvLx8dHWrVv11FNPXfKv2FfK36hRI02bNi3f5Rf/wlpSIiMjVb9+ff3nP//RM888o//85z8yxrjMajdx4kQ9//zzeuCBB/TSSy+pQoUK8vDw0KhRo674Wthstnxf84snwCjo+2uz2fTRRx9pw4YN+uyzz7R8+XI98MADevXVV7Vhw4Y8X28FcbVfK3369FHbtm21dOlSrVixQlOnTtUrr7yiJUuWqEuXLs7XZurUqbrpppvy3cbFef/M1+2lXGqbV9pXbv4nnnhCnTt3znfdi/9AUBz5c/n6+mrNmjVavXq1vvjiCy1btkyLFi1Sp06dtGLFikvuuyj2a5X7ugwYMOCSBbhx48bFkgXA1aEkAShxuRdCh4eHq27dule9jY0bN+r8+fP5fqZP7jqrVq1S69atr7poXexSUyV//fXXSk1N1ZIlS9SuXTvnuHU2P0nOz6PZv3+/Onbs6By/cOGCEhMTXX5RqlWrlrZv367o6OhCT9Gcu5+9e/c6T8/LtXfv3j/9uTj9+/fX888/rx9++EELFy5UnTp1dPPNNzuXf/TRR+rYsaPmzZvn8ri0tDRVrFjxstsuX758vqetXfzX+sK+vy1btlTLli318ssva+HCherfv78++OADPfjgg1d8bFGqUqWKHnvsMT322GM6duyYmjVrppdfflldunRxTqgQEBCgmJiYIttnSU3xnXtEzMvL65rJ7+HhoejoaEVHR2vatGmaOHGinn32Wa1evVoxMTEF+llSvXp1rVq1SpmZmS5Hk3JPo73S91OlSpVUrlw5ZWdnF+nrAqD4cE0SgBLXs2dPeXp6aty4cXn+WmyMUWpq6hW30atXLx0/flyvv/56nmW52+zTp4+ys7P10ksv5VnnwoULSktLK3R2Pz8/Scrz2Ny/SFufz7lz5zR79myX9Zo3b66goCC99dZbunDhgnP8/fffz3N6UZ8+fXT48GG99dZbeXKcOXNGp06dumTO5s2bKzg4WHPmzHGZLvzLL7/U7t271a1btys808vLPWr0wgsv6Pvvv8/z2Uienp553tv4+Pg816Pkp1atWtqzZ4/LNNDbt2/PMwV2Qd/f33//PU+W3KM0BZ1KvShkZ2c7T7vMFRwcrNDQUGeOyMhI1apVS//85z918uTJPNuwviaF4efnd1Vf74UVHBysDh066M0339TRo0fzLC/p/CdOnMgzdvF7X5CfJV27dlV2dnaedaZPny6bzaYuXbpcNoenp6d69eqlxYsX68cff8yz/GpfFwDFhyNJAEpcrVq1NGHCBI0ZM8Y5/XW5cuV08OBBLV26VA8//LCeeOKJy27j/vvv14IFCxQbG6vvvvtObdu21alTp7Rq1So99thjuuuuu9S+fXs98sgjmjRpkr7//nvddttt8vLy0r59+xQfH6+ZM2eqd+/ehcp+0003ydPTU6+88orS09Nlt9vVqVMntWrVSuXLl9fAgQM1cuRI2Ww2vffee3l+Off29taLL76oESNGqFOnTurTp48SExMVFxenWrVqufzF/G9/+5s+/PBDDR06VKtXr1br1q2VnZ2tPXv26MMPP9Ty5csveUqjl5eXXnnlFQ0ePFjt27dXv379nFOA16hRQ6NHjy7U875YeHi4WrVq5fxw4ItL0h133KHx48dr8ODBatWqlXbs2KH333/feaThch544AFNmzZNnTt31pAhQ3Ts2DHNmTNHDRs2dLnWq6Dv77vvvqvZs2fr7rvvVq1atZSZmam33npLAQEB6tq16596HQojMzNTN9xwg3r37q0mTZrI399fq1at0qZNm/Tqq69K+uOox9tvv60uXbqoYcOGGjx4sKpWrarDhw9r9erVCggI0GeffVbofUdGRmrVqlWaNm2aQkNDFR4e7px0oajNmjVLbdq0UaNGjfTQQw+pZs2aSklJ0fr16/Xrr78W6LOyLhYZGak33nhDEyZMUO3atRUcHJznCGl+xo8frzVr1qhbt26qXr26jh07ptmzZ+uGG25QmzZtJBXsZ8mdd96pjh076tlnn1ViYqKaNGmiFStW6JNPPtGoUaOuOKW69Me08atXr1aLFi300EMPqUGDBjpx4oS2bt2qVatW5VvoALhRic6lB6DUK8x00osXLzZt2rQxfn5+xs/Pz9SvX98MGzbM7N2717lO+/btTcOGDfN9/OnTp82zzz5rwsPDjZeXl6lcubLp3bu3OXDggMt6c+fONZGRkcbX19eUK1fONGrUyDz55JPmyJEjznWqV69uunXrlmcf+U1H/dZbb5maNWsaT09Pl+mP161bZ1q2bGl8fX1NaGioefLJJ51TJ188Zfhrr71mqlevbux2u7nlllvMunXrTGRkpLn99ttd1jt37px55ZVXTMOGDY3dbjfly5c3kZGRZty4cSY9Pf1KL7FZtGiRadq0qbHb7aZChQqmf//+5tdff3VZpzDvmdWsWbOMJHPLLbfkWXb27Fnz+OOPmypVqhhfX1/TunVrs379+jyvZ35TgBtjzL///W9Ts2ZN4+3tbW666SazfPnyPFOA57rS+7t161bTr18/U61aNWO3201wcLC54447zObNm6/4HC81BXh8fLzLepd6HlZZWVnmH//4h2nSpIkpV66c8fPzM02aNDGzZ8/Os+62bdtMz549TVBQkLHb7aZ69eqmT58+JiEhwblO7hTgF09vnd+03nv27DHt2rUzvr6+RpJzOvBLTQGe3/eCpDzTl+c+76lTp7qMHzhwwNx///2mcuXKxsvLy1StWtXccccd5qOPPsqT8+Kvu9zX2Po9k5ycbLp162bKlSuXZ6r8y0lISDB33XWXCQ0NNd7e3iY0NNT069fP/PTTTy7rFeRnSWZmphk9erQJDQ01Xl5epk6dOmbq1Kku05df6nXKlZKSYoYNG2bCwsKc+4mOjjZz584t0PMBUHJsxhTBlZEAgD8lJydHlSpVUs+ePfM9vQ4AAJQcrkkCgBJ29uzZPKfhLViwQCdOnFCHDh3cEwoAADhxJAkAStjXX3+t0aNH65577lFQUJC2bt2qefPmKSIiQlu2bMnzmVAA8kpOTr7scl9fX+fnOAFAYVGSAKCEJSYmauTIkfruu+904sQJVahQQV27dtXkyZMv+cGoAFxdaVrwgQMHKi4urmTCACh1KEkAAOAvZ9WqVZddHhoaqgYNGpRQGgClDSUJAAAAACyYuAEAAAAALEr9h8nm5OToyJEjKleu3BXPXwYAAABQehljlJmZqdDQUHl4XPp4UakvSUeOHFFYWJi7YwAAAAC4Rhw6dEg33HDDJZeX+pJUrlw5SX+8EAEBAW5OAwAAAMBdMjIyFBYW5uwIl1LqS1LuKXYBAQGUJAAAAABXvAyHiRsAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALAo4+4AuD5M3nbc3REAt3u6aUV3RwAAAAXAkSQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsHBrSapRo4ZsNlue27BhwyRJZ8+e1bBhwxQUFCR/f3/16tVLKSkp7owMAAAAoJRza0natGmTjh496rytXLlSknTPPfdIkkaPHq3PPvtM8fHx+uabb3TkyBH17NnTnZEBAAAAlHJl3LnzSpUqudyfPHmyatWqpfbt2ys9PV3z5s3TwoUL1alTJ0nS/PnzFRERoQ0bNqhly5buiAwAAACglLtmrkk6d+6c/v3vf+uBBx6QzWbTli1bdP78ecXExDjXqV+/vqpVq6b169dfcjtZWVnKyMhwuQEAAABAQV0zJenjjz9WWlqaBg0aJElKTk6Wt7e3AgMDXdYLCQlRcnLyJbczadIkORwO5y0sLKwYUwMAAAAoba6ZkjRv3jx16dJFoaGhf2o7Y8aMUXp6uvN26NChIkoIAAAA4Hrg1muScv3yyy9atWqVlixZ4hyrXLmyzp07p7S0NJejSSkpKapcufIlt2W322W324szLgAAAIBS7Jo4kjR//nwFBwerW7duzrHIyEh5eXkpISHBObZ3714lJSUpKirKHTEBAAAAXAfcfiQpJydH8+fP18CBA1WmzP/FcTgcGjJkiGJjY1WhQgUFBARoxIgRioqKYmY7AAAAAMXG7SVp1apVSkpK0gMPPJBn2fTp0+Xh4aFevXopKytLnTt31uzZs92QEgAAAMD1wmaMMe4OUZwyMjLkcDiUnp6ugIAAd8e5bk3edtzdEQC3e7ppRXdHAADgulbQbnBNXJMEAAAAANcKShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYOH2knT48GENGDBAQUFB8vX1VaNGjbR582bncmOMXnjhBVWpUkW+vr6KiYnRvn373JgYAAAAQGnm1pL0+++/q3Xr1vLy8tKXX36pXbt26dVXX1X58uWd60yZMkWvvfaa5syZo40bN8rPz0+dO3fW2bNn3ZgcAAAAQGlVxp07f+WVVxQWFqb58+c7x8LDw53/b4zRjBkz9Nxzz+muu+6SJC1YsEAhISH6+OOP1bdv3zzbzMrKUlZWlvN+RkZGMT4DAAAAAKWNW48kffrpp2revLnuueceBQcHq2nTpnrrrbecyw8ePKjk5GTFxMQ4xxwOh1q0aKH169fnu81JkybJ4XA4b2FhYcX+PAAAAACUHm4tST///LPeeOMN1alTR8uXL9ejjz6qkSNH6t1335UkJScnS5JCQkJcHhcSEuJcdrExY8YoPT3deTt06FDxPgkAAAAApYpbT7fLyclR8+bNNXHiRElS06ZN9eOPP2rOnDkaOHDgVW3TbrfLbrcXZUwAAAAA1xG3HkmqUqWKGjRo4DIWERGhpKQkSVLlypUlSSkpKS7rpKSkOJcBAAAAQFFya0lq3bq19u7d6zL2008/qXr16pL+mMShcuXKSkhIcC7PyMjQxo0bFRUVVaJZAQAAAFwf3Hq63ejRo9WqVStNnDhRffr00Xfffae5c+dq7ty5kiSbzaZRo0ZpwoQJqlOnjsLDw/X8888rNDRUPXr0cGd0AAAAAKWUW0vSzTffrKVLl2rMmDEaP368wsPDNWPGDPXv39+5zpNPPqlTp07p4YcfVlpamtq0aaNly5bJx8fHjckBAAAAlFY2Y4xxd4jilJGRIYfDofT0dAUEBLg7znVr8rbj7o4AuN3TTSu6OwIAANe1gnYDt16TBAAAAADXGkoSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALNxakl588UXZbDaXW/369Z3Lz549q2HDhikoKEj+/v7q1auXUlJS3JgYAAAAQGnn9iNJDRs21NGjR523tWvXOpeNHj1an332meLj4/XNN9/oyJEj6tmzpxvTAgAAACjtyrg9QJkyqly5cp7x9PR0zZs3TwsXLlSnTp0kSfPnz1dERIQ2bNigli1blnRUAAAAANcBtx9J2rdvn0JDQ1WzZk31799fSUlJkqQtW7bo/PnziomJca5bv359VatWTevXr7/k9rKyspSRkeFyAwAAAICCcmtJatGiheLi4rRs2TK98cYbOnjwoNq2bavMzEwlJyfL29tbgYGBLo8JCQlRcnLyJbc5adIkORwO5y0sLKyYnwUAAACA0sStp9t16dLF+f+NGzdWixYtVL16dX344Yfy9fW9qm2OGTNGsbGxzvsZGRkUJQAAAAAF5vbT7awCAwNVt25d7d+/X5UrV9a5c+eUlpbmsk5KSkq+1zDlstvtCggIcLkBAAAAQEFdUyXp5MmTOnDggKpUqaLIyEh5eXkpISHBuXzv3r1KSkpSVFSUG1MCAAAAKM3cerrdE088oTvvvFPVq1fXkSNHNHbsWHl6eqpfv35yOBwaMmSIYmNjVaFCBQUEBGjEiBGKiopiZjsAAAAAxcatJenXX39Vv379lJqaqkqVKqlNmzbasGGDKlWqJEmaPn26PDw81KtXL2VlZalz586aPXu2OyMDAAAAKOVsxhjj7hDFKSMjQw6HQ+np6Vyf5EaTtx13dwTA7Z5uWtHdEQAAuK4VtBtcU9ckAQAAAIC7UZIAAAAAwIKSBAAAAAAWlCQAAAAAsCj07HZZWVnauHGjfvnlF50+fVqVKlVS06ZNFR4eXhz5AAAAAKBEFbgkrVu3TjNnztRnn32m8+fPy+FwyNfXVydOnFBWVpZq1qyphx9+WEOHDlW5cuWKMzMAAAAAFJsCnW7XvXt33XvvvapRo4ZWrFihzMxMpaam6tdff9Xp06e1b98+Pffcc0pISFDdunW1cuXK4s4NAAAAAMWiQEeSunXrpsWLF8vLyyvf5TVr1lTNmjU1cOBA7dq1S0ePHi3SkAAAAABQUgpUkh555JECb7BBgwZq0KDBVQcCAAAAAHcq9MQNVj/++KO++eYbZWdnq3Xr1oqMjCyqXAAAAADgFlc9BfisWbMUHR2tb775RqtXr1anTp308ssvF2U2AAAAAChxBT6SdOjQIYWFhTnvv/7669q5c6cqVqwoSVq/fr26d++uZ599tuhTAgAAAEAJKfCRpJiYGM2cOVPGGElSUFCQli1bpqysLGVmZmrVqlWqVKlSsQUFAAAAgJJQ4JK0adMm7d27Vy1atND333+vuXPnavr06fL19VVgYKAWLVqkd999tzizAgAAAECxK/DpdgEBAZo9e7b+97//adCgQerUqZO+/fZbZWdnKzs7W4GBgcUYEwAAAABKRqEnbmjVqpU2b96s8uXLq2nTplqzZg0FCQAAAECpUeAjSRcuXNDcuXO1e/duNWnSRM8884zuvfdeDR06VHFxcXr99dcVEhJSnFkBAAAAoNgV+EjSkCFD9Prrr8vPz0/z58/X6NGjVbduXX311Ve6/fbbFRUVpTfeeKM4swIAAABAsStwSfrkk0+0ePFiTZ48WStXrtQXX3zhXDZkyBBt2LBB3377bbGEBAAAAICSUuCSFBISohUrVujcuXP66quvFBQU5LI8ODhYCxcuLPKAAAAAAFCSCnxN0uuvv67+/fsrNjZWVapU0YcfflicuQAAAADALQpckm699ValpKTo+PHjfGgsAAAAgFKrUFOA22w2ChIAAACAUq1AJen222/Xhg0brrheZmamXnnlFc2aNetPBwMAAAAAdyjQ6Xb33HOPevXqJYfDoTvvvFPNmzdXaGiofHx89Pvvv2vXrl1au3at/vvf/6pbt26aOnVqcecGAAAAgGJRoJI0ZMgQDRgwQPHx8Vq0aJHmzp2r9PR0SX+cgtegQQN17txZmzZtUkRERLEGBgAAAIDiVOCJG+x2uwYMGKABAwZIktLT03XmzBkFBQXJy8ur2AICAAAAQEkqcEm6mMPhkMPhKMosAAAAAOB2hZrdDgAAAABKO0oSAAAAAFhQkgAAAADAgpIEAAAAABZXVZLS0tL09ttva8yYMTpx4oQkaevWrTp8+HCRhgMAAACAklbo2e1++OEHxcTEyOFwKDExUQ899JAqVKigJUuWKCkpSQsWLCiOnAAAAABQIgp9JCk2NlaDBg3Svn375OPj4xzv2rWr1qxZU6ThAAAAAKCkFbokbdq0SY888kie8apVqyo5OblIQgEAAACAuxS6JNntdmVkZOQZ/+mnn1SpUqUiCQUAAAAA7lLoktS9e3eNHz9e58+flyTZbDYlJSXpqaeeUq9evYo8IAAAAACUpEKXpFdffVUnT55UcHCwzpw5o/bt26t27doqV66cXn755eLICAAAAAAlptCz2zkcDq1cuVJr167VDz/8oJMnT6pZs2aKiYkpjnwAAAAAUKIKXZJytWnTRm3atCnKLAAAAADgdoUuSa+99lq+4zabTT4+Pqpdu7batWsnT0/PPx0OAAAAAEpaoUvS9OnT9dtvv+n06dMqX768JOn3339X2bJl5e/vr2PHjqlmzZpavXq1wsLCijwwAAAAABSnQk/cMHHiRN18883at2+fUlNTlZqaqp9++kktWrTQzJkzlZSUpMqVK2v06NHFkRcAAAAAilWhjyQ999xzWrx4sWrVquUcq127tv75z3+qV69e+vnnnzVlyhSmAwcAAADwl1ToI0lHjx7VhQsX8oxfuHBBycnJkqTQ0FBlZmb++XQAAAAAUMIKXZI6duyoRx55RNu2bXOObdu2TY8++qg6deokSdqxY4fCw8OLLiUAAAAAlJBCl6R58+apQoUKioyMlN1ul91uV/PmzVWhQgXNmzdPkuTv769XX321yMMCAAAAQHErdEmqXLmyVq5cqV27dik+Pl7x8fHatWuXVqxYoZCQEEl/HG267bbbCrXdyZMny2azadSoUc6xs2fPatiwYQoKCpK/v7969eqllJSUwkYGAAAAgAK76g+TrV+/vurXr18kITZt2qQ333xTjRs3dhkfPXq0vvjiC8XHx8vhcGj48OHq2bOn1q1bVyT7BQAAAICLXVVJ+vXXX/Xpp58qKSlJ586dc1k2bdq0Qm3r5MmT6t+/v9566y1NmDDBOZ6enq558+Zp4cKFzmud5s+fr4iICG3YsEEtW7a8mugAAAAAcFmFLkkJCQnq3r27atasqT179ujGG29UYmKijDFq1qxZoQMMGzZM3bp1U0xMjEtJ2rJli86fP6+YmBjnWP369VWtWjWtX7/+kiUpKytLWVlZzvsZGRmFzgQAAADg+lXoa5LGjBmjJ554Qjt27JCPj48WL16sQ4cOqX379rrnnnsKta0PPvhAW7du1aRJk/IsS05Olre3twIDA13GQ0JCnFON52fSpElyOBzOW1hYWKEyAQAAALi+Fbok7d69W/fff78kqUyZMjpz5oz8/f01fvx4vfLKKwXezqFDh/T3v/9d77//vnx8fAob45LGjBmj9PR05+3QoUNFtm0AAAAApV+hS5Kfn5/zOqQqVarowIEDzmXHjx8v8Ha2bNmiY8eOqVmzZipTpozKlCmjb775Rq+99prKlCmjkJAQnTt3TmlpaS6PS0lJUeXKlS+5XbvdroCAAJcbAAAAABRUoa9JatmypdauXauIiAh17dpVjz/+uHbs2KElS5YUajKF6Oho7dixw2Vs8ODBql+/vp566imFhYXJy8tLCQkJ6tWrlyRp7969SkpKUlRUVGFjAwAAAECBFLokTZs2TSdPnpQkjRs3TidPntSiRYtUp06dQs1sV65cOd14440uY35+fgoKCnKODxkyRLGxsapQoYICAgI0YsQIRUVFMbMdAAAAgGJT6JJUs2ZN5//7+flpzpw5RRrIavr06fLw8FCvXr2UlZWlzp07a/bs2cW2PwAAAACwGWNMYR5Qs2ZNbdq0SUFBQS7jaWlpatasmX7++eciDfhnZWRkyOFwKD09neuT3GjytoJfrwaUVk83rejuCAAAXNcK2g0KPXFDYmKisrOz84xnZWXp8OHDhd0cAAAAAFxTCny63aeffur8/+XLl8vhcDjvZ2dnKyEhQTVq1CjScAAAAABQ0gpcknr06CFJstlsGjhwoMsyLy8v1ahRQ6+++mqRhgMAAACAklbgkpSTkyNJCg8P16ZNm1SxIufWAwAAACh9Cj273cGDB4sjBwAAAABcEwpdkiQpISFBCQkJOnbsmPMIU6533nmnSIIBAAAAgDsUuiSNGzdO48ePV/PmzVWlShXZbLbiyAUAAAAAblHokjRnzhzFxcXpb3/7W3HkAQAAAAC3KvTnJJ07d06tWrUqjiwAAAAA4HaFLkkPPvigFi5cWBxZAAAAAMDtCn263dmzZzV37lytWrVKjRs3lpeXl8vyadOmFVk4AAAAAChphS5JP/zwg2666SZJ0o8//uiyjEkcAAAAAPzVFbokrV69ujhyAAAAAMA1odDXJOXav3+/li9frjNnzkiSjDFFFgoAAAAA3KXQJSk1NVXR0dGqW7euunbtqqNHj0qShgwZoscff7zIAwIAAABASSp0SRo9erS8vLyUlJSksmXLOsfvvfdeLVu2rEjDAQAAAEBJK/Q1SStWrNDy5ct1ww03uIzXqVNHv/zyS5EFAwAAAAB3KPSRpFOnTrkcQcp14sQJ2e32IgkFAAAAAO5S6JLUtm1bLViwwHnfZrMpJydHU6ZMUceOHYs0HAAAAACUtEKfbjdlyhRFR0dr8+bNOnfunJ588knt3LlTJ06c0Lp164ojIwAAAACUmEIfSbrxxhv1008/qU2bNrrrrrt06tQp9ezZU9u2bVOtWrWKIyMAAAAAlJhCH0mSJIfDoWeffbaoswAAAACA2xX6SNL8+fMVHx+fZzw+Pl7vvvtukYQCAAAAAHcpdEmaNGmSKlasmGc8ODhYEydOLJJQAAAAAOAuhS5JSUlJCg8PzzNevXp1JSUlFUkoAAAAAHCXQpek4OBg/fDDD3nGt2/frqCgoCIJBQAAAADuUuiS1K9fP40cOVKrV69Wdna2srOz9dVXX+nvf/+7+vbtWxwZAQAAAKDEFHp2u5deekmJiYmKjo5WmTJ/PDwnJ0f3338/1yQBAAAA+MsrVEkyxig5OVlxcXGaMGGCvv/+e/n6+qpRo0aqXr16cWUEAAAAgBJT6JJUu3Zt7dy5U3Xq1FGdOnWKKxcAAAAAuEWhrkny8PBQnTp1lJqaWlx5AAAAAMCtCj1xw+TJk/WPf/xDP/74Y3HkAQAAAAC3KvTEDffff79Onz6tJk2ayNvbW76+vi7LT5w4UWThAAAAAKCkFbokzZgxoxhiAAAAAMC1odAlaeDAgcWRAwAAAACuCYW+JkmSDhw4oOeee079+vXTsWPHJElffvmldu7cWaThAAAAAKCkFbokffPNN2rUqJE2btyoJUuW6OTJk5Kk7du3a+zYsUUeEAAAAABKUqFL0tNPP60JEyZo5cqV8vb2do536tRJGzZsKNJwAAAAAFDSCl2SduzYobvvvjvPeHBwsI4fP14koQAAAADAXQpdkgIDA3X06NE849u2bVPVqlWLJBQAAAAAuEuhS1Lfvn311FNPKTk5WTabTTk5OVq3bp2eeOIJ3X///cWREQAAAABKTKFL0sSJE1W/fn2FhYXp5MmTatCggdq1a6dWrVrpueeeK46MAAAAAFBiCv05Sd7e3nrrrbf0wgsvaMeOHTp58qSaNm2qOnXqFEc+AAAAAChRBS5JOTk5mjp1qj799FOdO3dO0dHRGjt2rHx9fYszHwAAAACUqAKfbvfyyy/rmWeekb+/v6pWraqZM2dq2LBhxZkNAAAAAEpcgUvSggULNHv2bC1fvlwff/yxPvvsM73//vvKyckpznwAAAAAUKIKXJKSkpLUtWtX5/2YmBjZbDYdOXKkWIIBAAAAgDsUuCRduHBBPj4+LmNeXl46f/78Ve/8jTfeUOPGjRUQEKCAgABFRUXpyy+/dC4/e/ashg0bpqCgIPn7+6tXr15KSUm56v0BAAAAwJUUeOIGY4wGDRoku93uHDt79qyGDh0qPz8/59iSJUsKvPMbbrhBkydPVp06dWSM0bvvvqu77rpL27ZtU8OGDTV69Gh98cUXio+Pl8Ph0PDhw9WzZ0+tW7euwPsAAAAAgMKwGWNMQVYcPHhwgTY4f/78PxWoQoUKmjp1qnr37q1KlSpp4cKF6t27tyRpz549ioiI0Pr169WyZcsCbS8jI0MOh0Pp6ekKCAj4U9lw9SZvO+7uCIDbPd20orsjAABwXStoNyjwkaQ/W36uJDs7W/Hx8Tp16pSioqK0ZcsWnT9/XjExMc516tevr2rVql22JGVlZSkrK8t5PyMjo1hzAwAAAChdCnxNUnHZsWOH/P39ZbfbNXToUC1dulQNGjRQcnKyvL29FRgY6LJ+SEiIkpOTL7m9SZMmyeFwOG9hYWHF/AwAAAAAlCZuL0n16tXT999/r40bN+rRRx/VwIEDtWvXrqve3pgxY5Senu68HTp0qAjTAgAAACjtCny6XXHx9vZW7dq1JUmRkZHatGmTZs6cqXvvvVfnzp1TWlqay9GklJQUVa5c+ZLbs9vtLpNLAAAAAEBhuP1I0sVycnKUlZWlyMhIeXl5KSEhwbls7969SkpKUlRUlBsTAgAAACjN3HokacyYMerSpYuqVaumzMxMLVy4UF9//bWWL18uh8OhIUOGKDY2VhUqVFBAQIBGjBihqKioAs9sBwAAAACF5daSdOzYMd1///06evSoHA6HGjdurOXLl+vWW2+VJE2fPl0eHh7q1auXsrKy1LlzZ82ePdudkQEAAACUcgX+nKS/Kj4n6drA5yQBfE4SAADuVtBucM1dkwQAAAAA7kRJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgEUZdwcAAADXh8nbjrs7AuB2Tzet6O4IKACOJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALBwa0maNGmSbr75ZpUrV07BwcHq0aOH9u7d67LO2bNnNWzYMAUFBcnf31+9evVSSkqKmxIDAAAAKO3cWpK++eYbDRs2TBs2bNDKlSt1/vx53XbbbTp16pRzndGjR+uzzz5TfHy8vvnmGx05ckQ9e/Z0Y2oAAAAApVkZd+582bJlLvfj4uIUHBysLVu2qF27dkpPT9e8efO0cOFCderUSZI0f/58RUREaMOGDWrZsqU7YgMAAAAoxa6pa5LS09MlSRUqVJAkbdmyRefPn1dMTIxznfr166tatWpav359vtvIyspSRkaGyw0AAAAACuqaKUk5OTkaNWqUWrdurRtvvFGSlJycLG9vbwUGBrqsGxISouTk5Hy3M2nSJDkcDuctLCysuKMDAAAAKEWumZI0bNgw/fjjj/rggw/+1HbGjBmj9PR05+3QoUNFlBAAAADA9cCt1yTlGj58uD7//HOtWbNGN9xwg3O8cuXKOnfunNLS0lyOJqWkpKhy5cr5bstut8tutxd3ZAAAAACllFuPJBljNHz4cC1dulRfffWVwsPDXZZHRkbKy8tLCQkJzrG9e/cqKSlJUVFRJR0XAAAAwHXArUeShg0bpoULF+qTTz5RuXLlnNcZORwO+fr6yuFwaMiQIYqNjVWFChUUEBCgESNGKCoqipntAAAAABQLt5akN954Q5LUoUMHl/H58+dr0KBBkqTp06fLw8NDvXr1UlZWljp37qzZs2eXcFIAAAAA1wu3liRjzBXX8fHx0axZszRr1qwSSAQAAADgenfNzG4HAAAAANcCShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAs3FqS1qxZozvvvFOhoaGy2Wz6+OOPXZYbY/TCCy+oSpUq8vX1VUxMjPbt2+eesAAAAACuC24tSadOnVKTJk00a9asfJdPmTJFr732mubMmaONGzfKz89PnTt31tmzZ0s4KQAAAIDrRRl37rxLly7q0qVLvsuMMZoxY4aee+453XXXXZKkBQsWKCQkRB9//LH69u1bklEBAAAAXCeu2WuSDh48qOTkZMXExDjHHA6HWrRoofXr11/ycVlZWcrIyHC5AQAAAEBBXbMlKTk5WZIUEhLiMh4SEuJclp9JkybJ4XA4b2FhYcWaEwAAAEDpcs2WpKs1ZswYpaenO2+HDh1ydyQAAAAAfyHXbEmqXLmyJCklJcVlPCUlxbksP3a7XQEBAS43AAAAACioa7YkhYeHq3LlykpISHCOZWRkaOPGjYqKinJjMgAAAAClmVtntzt58qT279/vvH/w4EF9//33qlChgqpVq6ZRo0ZpwoQJqlOnjsLDw/X8888rNDRUPXr0cF9oAAAAAKWaW0vS5s2b1bFjR+f92NhYSdLAgQMVFxenJ598UqdOndLDDz+stLQ0tWnTRsuWLZOPj4+7IgMAAAAo5dxakjp06CBjzCWX22w2jR8/XuPHjy/BVAAAAACuZ9fsNUkAAAAA4A6UJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQAAAAAsKEkAAAAAYEFJAgAAAAALShIAAAAAWFCSAAAAAMCCkgQAAAAAFpQkAAAAALCgJAEAAACABSUJAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADA4i9RkmbNmqUaNWrIx8dHLVq00HfffefuSAAAAABKqWu+JC1atEixsbEaO3astm7dqiZNmqhz5846duyYu6MBAAAAKIWu+ZI0bdo0PfTQQxo8eLAaNGigOXPmqGzZsnrnnXfcHQ0AAABAKVTG3QEu59y5c9qyZYvGjBnjHPPw8FBMTIzWr1+f72OysrKUlZXlvJ+eni5JysjIKN6wuKyzJzPdHQFwu4wMb3dHANyKfwsA/i1wt9xOYIy57HrXdEk6fvy4srOzFRIS4jIeEhKiPXv25PuYSZMmady4cXnGw8LCiiUjABRU3p9MAIDrDf8WXBsyMzPlcDguufyaLklXY8yYMYqNjXXez8nJ0YkTJxQUFCSbzebGZID7ZGRkKCwsTIcOHVJAQIC74wAA3IB/C4A/jiBlZmYqNDT0sutd0yWpYsWK8vT0VEpKist4SkqKKleunO9j7Ha77Ha7y1hgYGBxRQT+UgICAviHEQCuc/xbgOvd5Y4g5bqmJ27w9vZWZGSkEhISnGM5OTlKSEhQVFSUG5MBAAAAKK2u6SNJkhQbG6uBAweqefPmuuWWWzRjxgydOnVKgwcPdnc0AAAAAKXQNV+S7r33Xv3222964YUXlJycrJtuuknLli3LM5kDgEuz2+0aO3ZsnlNRAQDXD/4tAArOZq40/x0AAAAAXEeu6WuSAAAAAKCkUZIAAAAAwIKSBAAAAAAWlCQAAAAAsKAkAQAAAIAFJQkAAAAALChJwHUmKytLJ0+edBnLyclxUxoAQEnLzs52dwTgmnfNf5gsgKKzc+dOPfnkkzpy5IiqVaum6OhoPfbYYypTpoxycnLk4cHfTQCgNNu9e7f+9a9/6cCBA2rVqpWioqJ02223uTsWcM3hNyLgOrF//361bdtWoaGhGjJkiLy8vDR//nz16NFD58+fl4eHB0eUAKAU27Nnj6KiopSZmamgoCCtXbtW9913n2bMmOHuaMA1x2aMMe4OAaD4/etf/9KXX36pL774QjabTRcuXNDixYs1ceJElS9fXitXrpSXl5eMMbLZbO6OCwAoYrGxsUpMTNSSJUskSUlJSVq4cKGeeeYZTZo0SU899ZSbEwLXDo4kAdeJw4cP66effnIWoDJlyqhnz56aMGGCMjIy9OijjyonJ4eCBAClkDFGiYmJ8vb2do5Vq1ZNI0aM0Kuvvqrnn39e8+fPd2NC4NpCSQKuEx07dlS5cuX03//+V7kHkL28vHTrrbdqwIAB2rp1q/bv3+/mlACA4mCz2dSuXTtt375du3fvdo77+flp0KBBGjZsmN566y0dOXLEjSmBawclCbhONG3aVHa7XbNmzdKePXuc4z4+PnrggQe0Z88erV271o0JAQDFqXnz5ipXrpzi4uL066+/OsfLly+vbt266ccff9TRo0fdmBC4dlCSgOtATk6OgoODtWDBAm3YsEFPPPGEtmzZ4lxut9vVrFkzVahQwY0pAQDFqU2bNurXr58WLVqkuXPn6ueff3Yua9SokapVq6asrCw3JgSuHUwBDlwHPDw8lJ2drbp162rdunXq3Lmz/vGPfyg6Olpt2rTRp59+qj179qhJkybujgoAKAa5H/MwevRonTlzRgsWLNCBAwc0aNAg1a5dW2+88YbS09NVs2ZNd0cFrgnMbgdcR7Kzs+Xp6anExERNnDhR69at04ULF+Tn56d58+apadOm7o4IAPgTcn/O58f6eXjvvvuuPv74Y3366adq2LChMjIytHTpUv4dAP4/ShJQSqSnp6ts2bLy8vK65Dq5s9fZbDadO3dOWVlZysjIULly5RQQEFCCaQEARe2nn37SZ599pvvuu09VqlTJd50LFy6oTJk/TiQ6deqUDh48KA8PDwUFBSkkJKQk4wLXNE63A0qBnTt3qn379ho1apSeeeYZ518KrYwxzvG0tDQFBgbK29tb5cqVK+m4AIAitn//fkVFRen3339XamqqYmNjVbFiRZd1jDHOgiT9MbPdjTfeWNJRgb8EJm4A/uIOHz6s+++/XyEhIZowYYImT56s/A4Q537+0dSpUzVq1ChmMAKAUuLUqVOaNGmSunfvrtdff12TJ0/WlClTdPz4cZf1rP8OvPTSS+6ICvxlcCQJ+AvLycnRmjVrFB4erhdffFHr16/X0KFDJUljxozJ94Nhjx8/7vKhsgCAvzYPDw9FRkYqKChI9957rypWrKi+fftKkp588kmXI0onTpzQli1blJiYqGHDhjGrKXAJlCTgL8zDw0PNmjVTYGCgbrzxRt14440yxujRRx+VJD399NPOU+xyL+Z95ZVXdPz48TynYQAA/pp8fX01cOBA+fn5SZL69OkjY4z69esnY4yefvppBQUFKTs7Wx4eHpo9e7aysrIoSMBlUJKAv7h69eqpXr16kv44svTwww/LZrO5HFG6cOGC4uPjFRERoaZNm1KQAKCUyS1IuUXo3nvvlTFG9913n2w2m0aNGqWpU6cqMTFRH3zwAQUJuAJKElAKGGNks9mcR40eeughSdLQoUNljNEvv/yi+Ph4bd++3Z0xAQDFzNPTU8YY5eTkqG/fvrLZbPrb3/6mTz/9VAcOHNB3330nu93u7pjANY8pwIG/uNzT6DIzMyXJZba6N998U48++qgcDodWrVqlyMhId8UEAJSg3F/vbDaboqOj9f333+vrr79Wo0aN3JwM+GtgdjvgL8z64bCNGzfW5s2bncvOnTun7du3y+Fw6H//+x8FCQCuIzabTTk5OYqNjdXq1au1evVqChJQCJQk4C/M09NTSUlJuuWWW9SpUyd16NDBuWz16tVavHixVq5cqYiICPeFBAC4TcOGDbV161Y1btzY3VGAvxROtwP+wnJycvTqq6/q0KFDmjlzpsu03keOHJGnpyefoA4A17Hca1YBFA4lCfiLO3PmjHx9fd0dAwAAoNSgJAEAAACABdckAQAAAIAFJQkAAAAALChJAAAAAGBBSQIAAAAAC0oSAAAAAFhQkgAAAADAgpIEAAAAABaUJAAAAACwoCQBAAAAgAUlCQDgVjVq1NCMGTPcHQMAACdKEgCgRMTFxSkwMDDP+KZNm/Twww+XfKCLfP3117LZbEpLS3N3FACAm5VxdwAAwPWtUqVK7o7wl3Du3Dl5e3u7OwYAXBc4kgQAcProo4/UqFEj+fr6KigoSDExMTp16pQk6e2331ZERIR8fHxUv359zZ492/m4xMRE2Ww2LVmyRB07dlTZsmXVpEkTrV+/XtIfR2kGDx6s9PR02Ww22Ww2vfjii5Lynm5ns9n05ptv6o477lDZsmUVERGh9evXa//+/erQoYP8/PzUqlUrHThwwCX7J598ombNmsnHx0c1a9bUuHHjdOHCBZftvv3227r77rtVtmxZ1alTR59++qkzf8eOHSVJ5cuXl81m06BBg/7U6yVJ77zzjho2bCi73a4qVapo+PDhzmVJSUm666675O/vr4CAAPXp00cpKSnO5S+++KJuuukmvf322woPD5ePj48kKS0tTQ8++KAqVaqkgIAAderUSdu3b79iVgBAIRgAAIwxR44cMWXKlDHTpk0zBw8eND/88IOZNWuWyczMNP/+979NlSpVzOLFi83PP/9sFi9ebCpUqGDi4uKMMcYcPHjQSDL169c3n3/+udm7d6/p3bu3qV69ujl//rzJysoyM2bMMAEBAebo0aPm6NGjJjMz0xhjTPXq1c306dOdOSSZqlWrmkWLFpm9e/eaHj16mBo1aphOnTqZZcuWmV27dpmWLVua22+/3fmYNWvWmICAABMXF2cOHDhgVqxYYWrUqGFefPFFl+3ecMMNZuHChWbfvn1m5MiRxt/f36SmppoLFy6YxYsXG0lm79695ujRoyYtLe2qXy9jjJk9e7bx8fExM2bMMHv37jXfffed83lmZ2ebm266ybRp08Zs3rzZbNiwwURGRpr27ds7tz927Fjj5+dnbr/9drN161azfft2Y4wxMTEx5s477zSbNm0yP/30k3n88cdNUFCQSU1Nver3HgDgipIEADDGGLNlyxYjySQmJuZZVqtWLbNw4UKXsZdeeslERUUZY/6vJL399tvO5Tt37jSSzO7du40xxsyfP984HI48286vJD333HPO++vXrzeSzLx585xj//nPf4yPj4/zfnR0tJk4caLLdt977z1TpUqVS2735MmTRpL58ssvjTHGrF692kgyv//+e56M+bnc62WMMaGhoebZZ5/Nd9mKFSuMp6enSUpKco7lvl7fffedMeaPkuTl5WWOHTvmXOfbb781AQEB5uzZsy7bq1WrlnnzzTcLlBsAcGVckwQAkCQ1adJE0dHRatSokTp37qzbbrtNvXv3lre3tw4cOKAhQ4booYcecq5/4cIFORwOl200btzY+f9VqlSRJB07dkz169cvVBbrdkJCQiRJjRo1chk7e/asMjIyFBAQoO3bt2vdunV6+eWXnetkZ2fr7NmzOn36tMqWLZtnu35+fgoICNCxY8cKlS3XpV6v8uXL69ixYzpy5Iiio6Pzfezu3bsVFhamsLAw51iDBg0UGBio3bt36+abb5YkVa9e3eWare3bt+vkyZMKCgpy2d6ZM2fynH4IALh6lCQAgCTJ09NTK1eu1P/+9z+tWLFC//rXv/Tss8/qs88+kyS99dZbatGiRZ7HWHl5eTn/32azSZJycnIKnSW/7Vxu2ydPntS4cePUs2fPPNvKvZbn4m3kbudq8kmXfr02btyoihUrXtU2L+bn5+dy/+TJk6pSpYq+/vrrPOvmN3MgAODqUJIAAE42m02tW7dW69at9cILL6h69epat26dQkND9fPPP6t///5XvW1vb29lZ2cXYdr/06xZM+3du1e1a9e+6m3kzhxXmIz5vV5Lly5VbGysatSooYSEBOeEEFYRERE6dOiQDh065DyatGvXLqWlpalBgwaX3F+zZs2UnJysMmXKqEaNGoV7ggCAAqMkAQAkSRs3blRCQoJuu+02BQcHa+PGjfrtt98UERGhcePGaeTIkXI4HLr99tuVlZWlzZs36/fff1dsbGyBtl+jRg2dPHlSCQkJatKkicqWLes8De7PeuGFF3THHXeoWrVq6t27tzw8PLR9+3b9+OOPmjBhQoG2Ub16ddlsNn3++efq2rWrfH195e/vf8n1L/d6SX/MTjd06FAFBwerS5cuyszM1Lp16zRixAjFxMSoUaNG6t+/v2bMmKELFy7oscceU/v27dW8efNL7jMmJkZRUVHq0aOHpkyZorp16+rIkSP64osvdPfdd1/2sQCAgmMKcACAJCkgIEBr1qxR165dVbduXT333HN69dVX1aVLFz344IN6++23NX/+fDVq1Ejt27dXXFycwsPDC7z9Vq1aaejQobr33ntVqVIlTZkypciyd+7cWZ9//rlWrFihm2++WS1bttT06dNVvXr1Am+jatWqGjdunJ5++mmFhIS4TNedn8u9XpI0cOBAzZgxQ7Nnz1bDhg11xx13aN++fZL+OAL1ySefqHz58mrXrp1iYmJUs2ZNLVq06LL7tNls+u9//6t27dpp8ODBqlu3rvr27atffvnFee0WAODPsxljjLtDAAAAAMC1giNJAAAAAGBBSQIAIB9JSUny9/e/5C0pKcndEQEAxYTT7QAAyMeFCxeUmJh4yeU1atRQmTLMfwQApRElCQAAAAAsON0OAAAAACwoSQAAAABgQUkCAAAAAAtKEgAAAABYUJIAAAAAwIKSBAAAAAAWlCQAAAAAsPh/wN220XTyRHwAAAAASUVORK5CYII=" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_percentage(eval, 'sentiment_score')" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:54.939199Z", "start_time": "2024-06-02T14:20:54.835713Z" } }, "id": "2226bd4c785447dc", "execution_count": 13 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "-1.0 3419\n 1.0 1129\nName: sentiment_score, dtype: int64" }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "test['sentiment_score'].value_counts()" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2024-06-02T14:20:55.250612Z", "start_time": "2024-06-02T14:20:55.244148Z" } }, "id": "f2586752d87f3399", "execution_count": 14 }, { "cell_type": "code", "outputs": [ { "data": { "text/plain": "
", "image/png": 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" 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