Deploy Flask ML app to offensive space
Browse files- classifier.ipynb +0 -1609
classifier.ipynb
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"cells": [
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from sklearn.feature_extraction.text import CountVectorizer\n",
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"from sklearn.feature_extraction.text import TfidfVectorizer\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [],
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"source": [
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"df= pd.read_csv(\"data.csv\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>class</th>\n",
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" <th>comments</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1</td>\n",
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" <td>you are sick upstairs</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>0</td>\n",
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" <td>i really dont understand your pointxa0 it seem...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>0</td>\n",
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" <td>axcxa0majority of canadians can and has been w...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>0</td>\n",
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" <td>sdl ok but i would hope theyd sign him to a on...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>0</td>\n",
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" <td>yeah and where are you now</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" class comments\n",
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"0 1 you are sick upstairs\n",
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"1 0 i really dont understand your pointxa0 it seem...\n",
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"2 0 axcxa0majority of canadians can and has been w...\n",
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"3 0 sdl ok but i would hope theyd sign him to a on...\n",
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"4 0 yeah and where are you now"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"8744"
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]
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},
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"execution_count": 22,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.size"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Index(['class', 'comments'], dtype='object')"
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]
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},
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"execution_count": 23,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.columns"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"class int64\n",
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"comments object\n",
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"dtype: object"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"#checking for datatypes\n",
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"df.dtypes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"class 0\n",
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"comments 0\n",
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"dtype: int64"
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]
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},
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"execution_count": 25,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"#checking for missing nan\n",
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"df.isnull().isnull().sum()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_data = df[[\"class\", \"comments\"]]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Index(['class', 'comments'], dtype='object')"
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]
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},
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_data.columns"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_x = df_data[\"comments\"]\n",
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"df_y = df_data[\"class\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {},
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"outputs": [],
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"source": [
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"#Feature Extraction from Text\n",
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"\n",
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"cv = CountVectorizer()\n",
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"ex = cv.fit_transform([\"Hello baby gitl\", \"My Nigga wetin dey\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[1, 0, 1, 1, 0, 0, 0],\n",
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" [0, 1, 0, 0, 1, 1, 1]], dtype=int64)"
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]
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},
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"ex.toarray()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['baby', 'dey', 'gitl', 'hello', 'my', 'nigga', 'wetin']"
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]
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},
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"execution_count": 32,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"cv.get_feature_names()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [],
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"source": [
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"corpus = df_x\n",
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"cv = CountVectorizer()\n",
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"X = cv.fit_transform(corpus)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[0, 0, 0, ..., 0, 0, 0],\n",
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" [0, 0, 0, ..., 0, 0, 0],\n",
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" [0, 0, 0, ..., 0, 0, 0],\n",
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" ...,\n",
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" [0, 0, 0, ..., 0, 0, 0],\n",
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" [0, 0, 0, ..., 0, 0, 0],\n",
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" [0, 0, 0, ..., 0, 0, 0]], dtype=int64)"
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]
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},
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"execution_count": 35,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"X.toarray()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {
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"collapsed": true
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['00',\n",
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" '000',\n",
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" '0000',\n",
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" '00000',\n",
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" '000000',\n",
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" '0000harrison',\n",
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" '0001nobama',\n",
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" '000nnjfeigelsondebevoisecomnnnnnnall',\n",
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" '000sxcxa0',\n",
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" '001',\n",
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" '0011',\n",
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" '00gallonxcxa0',\n",
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" '00nnemmanueltouheythehillcomnnnnand',\n",
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" '00nnthis',\n",
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" '00xa0',\n",
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" '00xa0islam',\n",
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" '01',\n",
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" '010',\n",
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" '010nndid',\n",
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" '010nnthe',\n",
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" '010xcxa0maxine',\n",
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" '011',\n",
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" '011nnthe',\n",
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" '01it',\n",
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" '01nnnndear',\n",
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" '01nthe',\n",
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" '01skeeter',\n",
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" '0bama',\n",
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" '0bstructionism',\n",
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" '0f',\n",
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" '0fps',\n",
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" '0k',\n",
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" '0kg',\n",
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" '0ld',\n",
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" '0nndallas',\n",
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" '0nokc',\n",
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" '0nsee',\n",
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" '0px',\n",
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" '0pxparam',\n",
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" '0s',\n",
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" '0th',\n",
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" '0thcentury',\n",
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" '0you',\n",
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" '10',\n",
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" '100',\n",
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" '1000',\n",
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" '10000',\n",
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" '100000',\n",
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" '100k',\n",
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" '100nthey',\n",
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" '100st',\n",
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" '100sxa0',\n",
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" '101',\n",
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" '1011',\n",
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" '10110',\n",
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" '10k',\n",
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" '10lbs',\n",
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" '10mp',\n",
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" '10nceltics',\n",
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" '10nnwhat',\n",
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" '10pm',\n",
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" '10s',\n",
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" '10snnn',\n",
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" '10th',\n",
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" '10x',\n",
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" '10xa0',\n",
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" '10xa0ncountries',\n",
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" '11',\n",
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" '11010',\n",
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" '110111',\n",
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" '11despite',\n",
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" '11nspurs',\n",
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" '11th',\n",
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" '1500',\n",
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" '16',\n",
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" '17',\n",
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" '18',\n",
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" '1976',\n",
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" '19800',\n",
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" '1am',\n",
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| 425 |
-
" '1bpblogspotcomyvszmvvirwtmokfaugmiaaaaaaaaa0knllaahknniss100kill',\n",
|
| 426 |
-
" '1cm',\n",
|
| 427 |
-
" '1htmlxcxa0nnfor',\n",
|
| 428 |
-
" '1kmonth',\n",
|
| 429 |
-
" '1m',\n",
|
| 430 |
-
" '1mgdl',\n",
|
| 431 |
-
" '1mm',\n",
|
| 432 |
-
" '1nbarney',\n",
|
| 433 |
-
" '1nbobcats',\n",
|
| 434 |
-
" '1nncorporations',\n",
|
| 435 |
-
" '1nnndeniece',\n",
|
| 436 |
-
" '1nnpar',\n",
|
| 437 |
-
" '1nnso',\n",
|
| 438 |
-
" '1paterno',\n",
|
| 439 |
-
" '1st',\n",
|
| 440 |
-
" '1th',\n",
|
| 441 |
-
" '1when',\n",
|
| 442 |
-
" '1xa0thought',\n",
|
| 443 |
-
" '1xa0xa0',\n",
|
| 444 |
-
" '1xcxa0frederick',\n",
|
| 445 |
-
" '1yearold',\n",
|
| 446 |
-
" '1yo',\n",
|
| 447 |
-
" '1yr',\n",
|
| 448 |
-
" '2017',\n",
|
| 449 |
-
" '2m',\n",
|
| 450 |
-
" '30',\n",
|
| 451 |
-
" '30k',\n",
|
| 452 |
-
" '30th',\n",
|
| 453 |
-
" '4th',\n",
|
| 454 |
-
" '504',\n",
|
| 455 |
-
" '50k',\n",
|
| 456 |
-
" '59',\n",
|
| 457 |
-
" '5k',\n",
|
| 458 |
-
" '70',\n",
|
| 459 |
-
" '86',\n",
|
| 460 |
-
" '900pm',\n",
|
| 461 |
-
" '9ice',\n",
|
| 462 |
-
" '9ja',\n",
|
| 463 |
-
" 'a1',\n",
|
| 464 |
-
" 'aaaaaaand',\n",
|
| 465 |
-
" 'aaaah',\n",
|
| 466 |
-
" 'aaahhh',\n",
|
| 467 |
-
" 'aac',\n",
|
| 468 |
-
" 'aamir',\n",
|
| 469 |
-
" 'aap',\n",
|
| 470 |
-
" 'aarongmyers',\n",
|
| 471 |
-
" 'ab',\n",
|
| 472 |
-
" 'abacha',\n",
|
| 473 |
-
" 'abandon',\n",
|
| 474 |
-
" 'abandoned',\n",
|
| 475 |
-
" 'abandonment',\n",
|
| 476 |
-
" 'abc',\n",
|
| 477 |
-
" 'abe',\n",
|
| 478 |
-
" 'abeds',\n",
|
| 479 |
-
" 'abeg',\n",
|
| 480 |
-
" 'abel',\n",
|
| 481 |
-
" 'aberdeen',\n",
|
| 482 |
-
" 'abetted',\n",
|
| 483 |
-
" 'abey',\n",
|
| 484 |
-
" 'abi',\n",
|
| 485 |
-
" 'abide',\n",
|
| 486 |
-
" 'abiding',\n",
|
| 487 |
-
" 'abigail',\n",
|
| 488 |
-
" 'abilities',\n",
|
| 489 |
-
" 'ability',\n",
|
| 490 |
-
" 'abilitya',\n",
|
| 491 |
-
" 'abilityn',\n",
|
| 492 |
-
" 'abit',\n",
|
| 493 |
-
" 'able',\n",
|
| 494 |
-
" 'abnormal',\n",
|
| 495 |
-
" 'abolish',\n",
|
| 496 |
-
" 'abomination',\n",
|
| 497 |
-
" 'abominations',\n",
|
| 498 |
-
" 'abort',\n",
|
| 499 |
-
" 'aborted',\n",
|
| 500 |
-
" 'abortifacients',\n",
|
| 501 |
-
" 'abortion',\n",
|
| 502 |
-
" 'abortionneven',\n",
|
| 503 |
-
" 'abortions',\n",
|
| 504 |
-
" 'abortionsnnalso',\n",
|
| 505 |
-
" 'about',\n",
|
| 506 |
-
" 'aboutn',\n",
|
| 507 |
-
" 'aboutnot',\n",
|
| 508 |
-
" 'aboutxa0u0u0u0au0u0a',\n",
|
| 509 |
-
" 'above',\n",
|
| 510 |
-
" 'abraham',\n",
|
| 511 |
-
" 'abroad',\n",
|
| 512 |
-
" 'abroadxcxa0nfacts',\n",
|
| 513 |
-
" 'abruptly',\n",
|
| 514 |
-
" 'abs',\n",
|
| 515 |
-
" 'abs0lutely',\n",
|
| 516 |
-
" 'abscam',\n",
|
| 517 |
-
" 'absence',\n",
|
| 518 |
-
" 'absolute',\n",
|
| 519 |
-
" 'absolutejoke',\n",
|
| 520 |
-
" 'absolutely',\n",
|
| 521 |
-
" 'abstaining',\n",
|
| 522 |
-
" 'absurd',\n",
|
| 523 |
-
" 'absurdly',\n",
|
| 524 |
-
" 'absurdumnatt',\n",
|
| 525 |
-
" 'absurt',\n",
|
| 526 |
-
" 'abundantly',\n",
|
| 527 |
-
" 'aburrido',\n",
|
| 528 |
-
" 'abuse',\n",
|
| 529 |
-
" 'abused',\n",
|
| 530 |
-
" 'abuses',\n",
|
| 531 |
-
" 'abusing',\n",
|
| 532 |
-
" 'abusive',\n",
|
| 533 |
-
" 'abxcxa0',\n",
|
| 534 |
-
" 'abxxv',\n",
|
| 535 |
-
" 'abysmal',\n",
|
| 536 |
-
" 'ac',\n",
|
| 537 |
-
" 'academic',\n",
|
| 538 |
-
" 'acc',\n",
|
| 539 |
-
" 'accentblacks',\n",
|
| 540 |
-
" 'accept',\n",
|
| 541 |
-
" 'acceptable',\n",
|
| 542 |
-
" 'accepted',\n",
|
| 543 |
-
" 'accepting',\n",
|
| 544 |
-
" 'access',\n",
|
| 545 |
-
" 'accessible',\n",
|
| 546 |
-
" 'accessories',\n",
|
| 547 |
-
" 'accident',\n",
|
| 548 |
-
" 'accidental',\n",
|
| 549 |
-
" 'accidentally',\n",
|
| 550 |
-
" 'accidents',\n",
|
| 551 |
-
" 'accolades',\n",
|
| 552 |
-
" 'accomplish',\n",
|
| 553 |
-
" 'accomplished',\n",
|
| 554 |
-
" 'accomplishednnyou',\n",
|
| 555 |
-
" 'accomplishment',\n",
|
| 556 |
-
" 'accomplishments',\n",
|
| 557 |
-
" 'accordance',\n",
|
| 558 |
-
" 'according',\n",
|
| 559 |
-
" 'account',\n",
|
| 560 |
-
" 'accountability',\n",
|
| 561 |
-
" 'accountable',\n",
|
| 562 |
-
" 'accountsnjust',\n",
|
| 563 |
-
" 'accra',\n",
|
| 564 |
-
" 'accumulate',\n",
|
| 565 |
-
" 'accurate',\n",
|
| 566 |
-
" 'accurately',\n",
|
| 567 |
-
" 'accusation',\n",
|
| 568 |
-
" 'accuse',\n",
|
| 569 |
-
" 'accused',\n",
|
| 570 |
-
" 'accuser',\n",
|
| 571 |
-
" 'accusing',\n",
|
| 572 |
-
" 'accustomed',\n",
|
| 573 |
-
" 'ace',\n",
|
| 574 |
-
" 'acha',\n",
|
| 575 |
-
" 'acheson',\n",
|
| 576 |
-
" 'achieve',\n",
|
| 577 |
-
" 'achievement',\n",
|
| 578 |
-
" 'achievements',\n",
|
| 579 |
-
" 'achievementsbut',\n",
|
| 580 |
-
" 'achieving',\n",
|
| 581 |
-
" 'acid',\n",
|
| 582 |
-
" 'aciddragonxa0xa0rourke',\n",
|
| 583 |
-
" 'ackbar',\n",
|
| 584 |
-
" 'acknowledge',\n",
|
| 585 |
-
" 'acknowledged',\n",
|
| 586 |
-
" 'acknowledging',\n",
|
| 587 |
-
" 'acl',\n",
|
| 588 |
-
" 'acordxe',\n",
|
| 589 |
-
" 'acquire',\n",
|
| 590 |
-
" 'acquired',\n",
|
| 591 |
-
" 'acquiring',\n",
|
| 592 |
-
" 'acquitted',\n",
|
| 593 |
-
" 'acres',\n",
|
| 594 |
-
" 'across',\n",
|
| 595 |
-
" 'act',\n",
|
| 596 |
-
" 'acted',\n",
|
| 597 |
-
" 'acting',\n",
|
| 598 |
-
" 'actio',\n",
|
| 599 |
-
" 'action',\n",
|
| 600 |
-
" 'actions',\n",
|
| 601 |
-
" 'actitud',\n",
|
| 602 |
-
" 'active',\n",
|
| 603 |
-
" 'actively',\n",
|
| 604 |
-
" 'activists',\n",
|
| 605 |
-
" 'activistsxcxa0xcxa0',\n",
|
| 606 |
-
" 'activities',\n",
|
| 607 |
-
" 'activity',\n",
|
| 608 |
-
" 'actor',\n",
|
| 609 |
-
" 'actorif',\n",
|
| 610 |
-
" 'actress',\n",
|
| 611 |
-
" 'acts',\n",
|
| 612 |
-
" 'actsxcxa0hasnt',\n",
|
| 613 |
-
" 'actual',\n",
|
| 614 |
-
" 'actuality',\n",
|
| 615 |
-
" 'actually',\n",
|
| 616 |
-
" 'actuallyxa0',\n",
|
| 617 |
-
" 'actxa0',\n",
|
| 618 |
-
" 'acute',\n",
|
| 619 |
-
" 'ad',\n",
|
| 620 |
-
" 'ada',\n",
|
| 621 |
-
" 'adage',\n",
|
| 622 |
-
" 'adam',\n",
|
| 623 |
-
" 'adam1',\n",
|
| 624 |
-
" 'adamant',\n",
|
| 625 |
-
" 'adamawa',\n",
|
| 626 |
-
" 'adamomarsxa0xa0dieofnvxa0the',\n",
|
| 627 |
-
" 'adapt',\n",
|
| 628 |
-
" 'adapted',\n",
|
| 629 |
-
" 'adaptible',\n",
|
| 630 |
-
" 'add',\n",
|
| 631 |
-
" 'added',\n",
|
| 632 |
-
" 'addict',\n",
|
| 633 |
-
" 'addicted',\n",
|
| 634 |
-
" 'addiction',\n",
|
| 635 |
-
" 'addicts',\n",
|
| 636 |
-
" 'adding',\n",
|
| 637 |
-
" 'addition',\n",
|
| 638 |
-
" 'additional',\n",
|
| 639 |
-
" 'additionally',\n",
|
| 640 |
-
" 'address',\n",
|
| 641 |
-
" 'addresses',\n",
|
| 642 |
-
" 'addressing',\n",
|
| 643 |
-
" 'addressstop',\n",
|
| 644 |
-
" 'adds',\n",
|
| 645 |
-
" 'addy',\n",
|
| 646 |
-
" 'adele',\n",
|
| 647 |
-
" 'adept',\n",
|
| 648 |
-
" 'adhere',\n",
|
| 649 |
-
" 'adherents',\n",
|
| 650 |
-
" 'adhocits',\n",
|
| 651 |
-
" 'adicted',\n",
|
| 652 |
-
" 'adjust',\n",
|
| 653 |
-
" 'admin',\n",
|
| 654 |
-
" 'administration',\n",
|
| 655 |
-
" 'administrationnto',\n",
|
| 656 |
-
" 'administrationnwould',\n",
|
| 657 |
-
" 'administrations',\n",
|
| 658 |
-
" 'administrative',\n",
|
| 659 |
-
" 'administratorxa0',\n",
|
| 660 |
-
" 'adminstration',\n",
|
| 661 |
-
" 'admirably',\n",
|
| 662 |
-
" 'admiral',\n",
|
| 663 |
-
" 'admire',\n",
|
| 664 |
-
" 'admiring',\n",
|
| 665 |
-
" 'admit',\n",
|
| 666 |
-
" 'admits',\n",
|
| 667 |
-
" 'admitted',\n",
|
| 668 |
-
" 'admittedly',\n",
|
| 669 |
-
" 'admitting',\n",
|
| 670 |
-
" 'adolescent',\n",
|
| 671 |
-
" 'adolf',\n",
|
| 672 |
-
" 'adopt',\n",
|
| 673 |
-
" 'adopted',\n",
|
| 674 |
-
" 'adopting',\n",
|
| 675 |
-
" 'adoption',\n",
|
| 676 |
-
" 'adoptions',\n",
|
| 677 |
-
" 'adorable',\n",
|
| 678 |
-
" 'adult',\n",
|
| 679 |
-
" 'adulterer',\n",
|
| 680 |
-
" 'adulterers',\n",
|
| 681 |
-
" 'adultery',\n",
|
| 682 |
-
" 'adults',\n",
|
| 683 |
-
" 'adultsxcxa0',\n",
|
| 684 |
-
" 'adultsxcxa0xcxa0most',\n",
|
| 685 |
-
" 'adumbas',\n",
|
| 686 |
-
" 'advancement',\n",
|
| 687 |
-
" 'advancements',\n",
|
| 688 |
-
" 'advantage',\n",
|
| 689 |
-
" 'adverise',\n",
|
| 690 |
-
" 'adversaries',\n",
|
| 691 |
-
" 'adversary',\n",
|
| 692 |
-
" 'advertising',\n",
|
| 693 |
-
" 'advice',\n",
|
| 694 |
-
" 'advicenand',\n",
|
| 695 |
-
" 'advised',\n",
|
| 696 |
-
" 'adviser',\n",
|
| 697 |
-
" 'advisers',\n",
|
| 698 |
-
" 'advisor',\n",
|
| 699 |
-
" 'advocate',\n",
|
| 700 |
-
" 'advocates',\n",
|
| 701 |
-
" 'advocating',\n",
|
| 702 |
-
" 'aes',\n",
|
| 703 |
-
" 'afar',\n",
|
| 704 |
-
" 'affair',\n",
|
| 705 |
-
" 'affairs',\n",
|
| 706 |
-
" 'affairsnnextremist',\n",
|
| 707 |
-
" 'affect',\n",
|
| 708 |
-
" 'affected',\n",
|
| 709 |
-
" 'affects',\n",
|
| 710 |
-
" 'afffects',\n",
|
| 711 |
-
" 'affiliate',\n",
|
| 712 |
-
" 'affiliation',\n",
|
| 713 |
-
" 'affirming',\n",
|
| 714 |
-
" 'affixed',\n",
|
| 715 |
-
" 'affluent',\n",
|
| 716 |
-
" 'affod',\n",
|
| 717 |
-
" 'afford',\n",
|
| 718 |
-
" 'afforded',\n",
|
| 719 |
-
" 'affraid',\n",
|
| 720 |
-
" 'affront',\n",
|
| 721 |
-
" 'afgans',\n",
|
| 722 |
-
" 'afghan',\n",
|
| 723 |
-
" 'afghanistan',\n",
|
| 724 |
-
" 'afiliados',\n",
|
| 725 |
-
" 'afixing',\n",
|
| 726 |
-
" 'afraid',\n",
|
| 727 |
-
" 'africa',\n",
|
| 728 |
-
" 'africaand',\n",
|
| 729 |
-
" 'africamore',\n",
|
| 730 |
-
" 'african',\n",
|
| 731 |
-
" 'africans',\n",
|
| 732 |
-
" 'africansnslavery',\n",
|
| 733 |
-
" 'africayou',\n",
|
| 734 |
-
" 'afrika',\n",
|
| 735 |
-
" 'afroamerican',\n",
|
| 736 |
-
" 'after',\n",
|
| 737 |
-
" 'afterall',\n",
|
| 738 |
-
" 'aftermath',\n",
|
| 739 |
-
" 'afternoonthat',\n",
|
| 740 |
-
" 'afterward',\n",
|
| 741 |
-
" 'afterwardsnn',\n",
|
| 742 |
-
" 'afterwardsnninstead',\n",
|
| 743 |
-
" 'afucking',\n",
|
| 744 |
-
" 'afvet11nnim',\n",
|
| 745 |
-
" 'ag',\n",
|
| 746 |
-
" 'again',\n",
|
| 747 |
-
" 'again1',\n",
|
| 748 |
-
" 'againever',\n",
|
| 749 |
-
" 'againhe',\n",
|
| 750 |
-
" 'againnif',\n",
|
| 751 |
-
" 'againnn',\n",
|
| 752 |
-
" 'againnn1',\n",
|
| 753 |
-
" 'againnnand',\n",
|
| 754 |
-
" 'againnnmeanwhile',\n",
|
| 755 |
-
" 'againnnunless',\n",
|
| 756 |
-
" 'againnnyou',\n",
|
| 757 |
-
" 'agains',\n",
|
| 758 |
-
" 'against',\n",
|
| 759 |
-
" 'againstnthe',\n",
|
| 760 |
-
" 'againtonyretardo',\n",
|
| 761 |
-
" 'againxa0xa0',\n",
|
| 762 |
-
" 'agbaya',\n",
|
| 763 |
-
" 'age',\n",
|
| 764 |
-
" 'aged',\n",
|
| 765 |
-
" 'agencies',\n",
|
| 766 |
-
" 'agency',\n",
|
| 767 |
-
" 'agenda',\n",
|
| 768 |
-
" 'agent',\n",
|
| 769 |
-
" 'agents',\n",
|
| 770 |
-
" 'ages',\n",
|
| 771 |
-
" 'aggie',\n",
|
| 772 |
-
" 'aggressive',\n",
|
| 773 |
-
" 'aginst',\n",
|
| 774 |
-
" 'agism',\n",
|
| 775 |
-
" 'ago',\n",
|
| 776 |
-
" 'agoxcxa0',\n",
|
| 777 |
-
" 'agree',\n",
|
| 778 |
-
" 'agreed',\n",
|
| 779 |
-
" 'agreeing',\n",
|
| 780 |
-
" 'agreement',\n",
|
| 781 |
-
" 'agrees',\n",
|
| 782 |
-
" 'agriculture',\n",
|
| 783 |
-
" 'aguycommenting',\n",
|
| 784 |
-
" 'agxcxa0',\n",
|
| 785 |
-
" 'ah',\n",
|
| 786 |
-
" 'ahahah',\n",
|
| 787 |
-
" 'ahahahahah',\n",
|
| 788 |
-
" 'ahead',\n",
|
| 789 |
-
" 'aheadnnq',\n",
|
| 790 |
-
" 'ahn',\n",
|
| 791 |
-
" 'ahole',\n",
|
| 792 |
-
" 'aholennnot',\n",
|
| 793 |
-
" 'aholexa0',\n",
|
| 794 |
-
" 'ahr1xa0xa0',\n",
|
| 795 |
-
" 'ahs',\n",
|
| 796 |
-
" 'aid',\n",
|
| 797 |
-
" 'aided',\n",
|
| 798 |
-
" 'aids',\n",
|
| 799 |
-
" 'ail',\n",
|
| 800 |
-
" 'aimed',\n",
|
| 801 |
-
" 'aimless',\n",
|
| 802 |
-
" 'aint',\n",
|
| 803 |
-
" 'aipac',\n",
|
| 804 |
-
" 'air',\n",
|
| 805 |
-
" 'airbad',\n",
|
| 806 |
-
" 'airbrush',\n",
|
| 807 |
-
" 'airchair',\n",
|
| 808 |
-
" 'aircraft',\n",
|
| 809 |
-
" 'airing',\n",
|
| 810 |
-
" 'airmix',\n",
|
| 811 |
-
" 'airplane',\n",
|
| 812 |
-
" 'airport',\n",
|
| 813 |
-
" 'airwaves',\n",
|
| 814 |
-
" 'ajumoke',\n",
|
| 815 |
-
" 'aka',\n",
|
| 816 |
-
" 'akiinwale',\n",
|
| 817 |
-
" 'akinwunmiambode',\n",
|
| 818 |
-
" 'akklaim',\n",
|
| 819 |
-
" 'akp',\n",
|
| 820 |
-
" 'aks',\n",
|
| 821 |
-
" 'aktuxe1lnu011bju011xedhokritickxehomoralizujxedcxedho',\n",
|
| 822 |
-
" 'al',\n",
|
| 823 |
-
" 'alabama',\n",
|
| 824 |
-
" 'alain',\n",
|
| 825 |
-
" 'alainironu',\n",
|
| 826 |
-
" 'alakda',\n",
|
| 827 |
-
" 'alan',\n",
|
| 828 |
-
" 'alarm',\n",
|
| 829 |
-
" 'alarming',\n",
|
| 830 |
-
" 'alasthis',\n",
|
| 831 |
-
" 'albaxf1il',\n",
|
| 832 |
-
" 'album',\n",
|
| 833 |
-
" 'albumnnfor',\n",
|
| 834 |
-
" 'albums',\n",
|
| 835 |
-
" 'alcohol',\n",
|
| 836 |
-
" 'alcoholic',\n",
|
| 837 |
-
" 'alcohols',\n",
|
| 838 |
-
" 'aldasity',\n",
|
| 839 |
-
" 'aldickweed',\n",
|
| 840 |
-
" 'aldri',\n",
|
| 841 |
-
" 'ale',\n",
|
| 842 |
-
" 'alecs',\n",
|
| 843 |
-
" 'aleging',\n",
|
| 844 |
-
" 'aleisterhyde',\n",
|
| 845 |
-
" 'alejate',\n",
|
| 846 |
-
" 'alenlemone',\n",
|
| 847 |
-
" 'alert',\n",
|
| 848 |
-
" 'alessandra',\n",
|
| 849 |
-
" 'alex',\n",
|
| 850 |
-
" 'alexander',\n",
|
| 851 |
-
" 'alexis',\n",
|
| 852 |
-
" 'ali',\n",
|
| 853 |
-
" 'aliberal',\n",
|
| 854 |
-
" 'alice',\n",
|
| 855 |
-
" 'alien',\n",
|
| 856 |
-
" 'alienated',\n",
|
| 857 |
-
" 'alienates',\n",
|
| 858 |
-
" 'alienating',\n",
|
| 859 |
-
" 'aliens',\n",
|
| 860 |
-
" 'aliensnnyou',\n",
|
| 861 |
-
" 'aliensxa0to',\n",
|
| 862 |
-
" 'alike',\n",
|
| 863 |
-
" 'alikexa0',\n",
|
| 864 |
-
" 'alinsky',\n",
|
| 865 |
-
" 'alisterdognwhat',\n",
|
| 866 |
-
" 'alive',\n",
|
| 867 |
-
" 'alivennits',\n",
|
| 868 |
-
" 'alivexa0',\n",
|
| 869 |
-
" 'alkohol',\n",
|
| 870 |
-
" 'all',\n",
|
| 871 |
-
" 'alla',\n",
|
| 872 |
-
" 'allah',\n",
|
| 873 |
-
" 'allahpunditnnvia',\n",
|
| 874 |
-
" 'allan',\n",
|
| 875 |
-
" 'allegations',\n",
|
| 876 |
-
" 'alleged',\n",
|
| 877 |
-
" 'allegedly',\n",
|
| 878 |
-
" 'allegiance',\n",
|
| 879 |
-
" 'allen',\n",
|
| 880 |
-
" 'allergic',\n",
|
| 881 |
-
" 'allergies',\n",
|
| 882 |
-
" 'allergiesxa0nni',\n",
|
| 883 |
-
" 'alley',\n",
|
| 884 |
-
" 'allgaybryan',\n",
|
| 885 |
-
" 'alliance',\n",
|
| 886 |
-
" 'alliances',\n",
|
| 887 |
-
" 'allies',\n",
|
| 888 |
-
" 'alligator',\n",
|
| 889 |
-
" 'allinit1',\n",
|
| 890 |
-
" 'allkpop',\n",
|
| 891 |
-
" 'alll',\n",
|
| 892 |
-
" 'allmxenna',\n",
|
| 893 |
-
" 'allnassessments',\n",
|
| 894 |
-
" 'allnnthis',\n",
|
| 895 |
-
" 'allnnyour',\n",
|
| 896 |
-
" 'allnthat',\n",
|
| 897 |
-
" 'allnthe',\n",
|
| 898 |
-
" 'allocated',\n",
|
| 899 |
-
" 'allot',\n",
|
| 900 |
-
" 'allow',\n",
|
| 901 |
-
" 'allowed',\n",
|
| 902 |
-
" 'allowfullscreentrue',\n",
|
| 903 |
-
" 'allowing',\n",
|
| 904 |
-
" 'allows',\n",
|
| 905 |
-
" 'allowscriptaccessalways',\n",
|
| 906 |
-
" 'allpowerful',\n",
|
| 907 |
-
" 'allpro',\n",
|
| 908 |
-
" 'allra',\n",
|
| 909 |
-
" 'alls',\n",
|
| 910 |
-
" 'allstar',\n",
|
| 911 |
-
" 'allt',\n",
|
| 912 |
-
" 'allu0i',\n",
|
| 913 |
-
" 'allways',\n",
|
| 914 |
-
" 'allxa0',\n",
|
| 915 |
-
" 'allxa0as',\n",
|
| 916 |
-
" 'allxa0passed',\n",
|
| 917 |
-
" 'allxcxa0',\n",
|
| 918 |
-
" 'allxcxa0nnthe',\n",
|
| 919 |
-
" 'ally',\n",
|
| 920 |
-
" 'allyxa0',\n",
|
| 921 |
-
" 'almajiris',\n",
|
| 922 |
-
" 'almighty',\n",
|
| 923 |
-
" 'almost',\n",
|
| 924 |
-
" 'alone',\n",
|
| 925 |
-
" 'alonebitch',\n",
|
| 926 |
-
" 'alonehell',\n",
|
| 927 |
-
" 'alonennand',\n",
|
| 928 |
-
" 'alonexa0',\n",
|
| 929 |
-
" 'along',\n",
|
| 930 |
-
" 'alongshes',\n",
|
| 931 |
-
" 'alot',\n",
|
| 932 |
-
" 'alotnkeeps',\n",
|
| 933 |
-
" 'already',\n",
|
| 934 |
-
" 'alreadynkennedy',\n",
|
| 935 |
-
" 'alreadyxa0',\n",
|
| 936 |
-
" 'alrightnwell',\n",
|
| 937 |
-
" 'also',\n",
|
| 938 |
-
" 'alsoruns',\n",
|
| 939 |
-
" 'alsoxa0',\n",
|
| 940 |
-
" 'alsum',\n",
|
| 941 |
-
" 'altar',\n",
|
| 942 |
-
" 'alter',\n",
|
| 943 |
-
" 'alterego',\n",
|
| 944 |
-
" 'alternate',\n",
|
| 945 |
-
" 'alternatives',\n",
|
| 946 |
-
" 'although',\n",
|
| 947 |
-
" 'altogether',\n",
|
| 948 |
-
" 'alumni',\n",
|
| 949 |
-
" 'always',\n",
|
| 950 |
-
" 'am',\n",
|
| 951 |
-
" 'ama',\n",
|
| 952 |
-
" 'amala',\n",
|
| 953 |
-
" 'amanda',\n",
|
| 954 |
-
" 'amateur',\n",
|
| 955 |
-
" 'amazaballs',\n",
|
| 956 |
-
" 'amazed',\n",
|
| 957 |
-
" 'amazement',\n",
|
| 958 |
-
" 'amazing',\n",
|
| 959 |
-
" 'amazzzzing',\n",
|
| 960 |
-
" 'ambassadornand',\n",
|
| 961 |
-
" 'amber',\n",
|
| 962 |
-
" 'ambition',\n",
|
| 963 |
-
" 'ambitious',\n",
|
| 964 |
-
" 'amd',\n",
|
| 965 |
-
" 'amdnnnnnyou',\n",
|
| 966 |
-
" 'amen',\n",
|
| 967 |
-
" 'amendment',\n",
|
| 968 |
-
" 'amendments',\n",
|
| 969 |
-
" 'amendmentxcxa0nnroman',\n",
|
| 970 |
-
" 'amends',\n",
|
| 971 |
-
" 'amerians',\n",
|
| 972 |
-
" 'america',\n",
|
| 973 |
-
" 'americacutting',\n",
|
| 974 |
-
" 'american',\n",
|
| 975 |
-
" 'american0',\n",
|
| 976 |
-
" 'americannvan',\n",
|
| 977 |
-
" 'americans',\n",
|
| 978 |
-
" 'americansnnif',\n",
|
| 979 |
-
" 'americansno',\n",
|
| 980 |
-
" 'americansxa0xa0nlol',\n",
|
| 981 |
-
" 'americansxcxa0',\n",
|
| 982 |
-
" 'americanyoure',\n",
|
| 983 |
-
" 'americas',\n",
|
| 984 |
-
" 'americaxa0',\n",
|
| 985 |
-
" 'americaxcxa0',\n",
|
| 986 |
-
" 'americaxex0xdnxex0xcwhat',\n",
|
| 987 |
-
" 'amerikan',\n",
|
| 988 |
-
" 'amerikans',\n",
|
| 989 |
-
" 'amid',\n",
|
| 990 |
-
" 'amir',\n",
|
| 991 |
-
" 'ammede',\n",
|
| 992 |
-
" 'ammunition',\n",
|
| 993 |
-
" 'ammunitionnas',\n",
|
| 994 |
-
" 'amnesty',\n",
|
| 995 |
-
" 'among',\n",
|
| 996 |
-
" 'amoral',\n",
|
| 997 |
-
" 'amount',\n",
|
| 998 |
-
" 'amounted',\n",
|
| 999 |
-
" 'amounts',\n",
|
| 1000 |
-
" 'amous',\n",
|
| 1001 |
-
" 'amp',\n",
|
| 1002 |
-
" 'amso',\n",
|
| 1003 |
-
" 'amused',\n",
|
| 1004 |
-
" 'amusement',\n",
|
| 1005 |
-
" 'amuses',\n",
|
| 1006 |
-
" 'amxa0',\n",
|
| 1007 |
-
" 'amy',\n",
|
| 1008 |
-
" 'an',\n",
|
| 1009 |
-
" 'anachronism',\n",
|
| 1010 |
-
" 'anal',\n",
|
| 1011 |
-
" 'analogy',\n",
|
| 1012 |
-
" 'analy',\n",
|
| 1013 |
-
" 'analysis',\n",
|
| 1014 |
-
" 'analyst',\n",
|
| 1015 |
-
" 'anaphylactic',\n",
|
| 1016 |
-
" 'anathema',\n",
|
| 1017 |
-
" 'anc',\n",
|
| 1018 |
-
" 'ancelotti',\n",
|
| 1019 |
-
" 'ancestors',\n",
|
| 1020 |
-
" 'ancient',\n",
|
| 1021 |
-
" 'and',\n",
|
| 1022 |
-
" 'andato',\n",
|
| 1023 |
-
" 'anderson',\n",
|
| 1024 |
-
" 'andersons',\n",
|
| 1025 |
-
" 'andf',\n",
|
| 1026 |
-
" 'andfuckedup',\n",
|
| 1027 |
-
" 'andi',\n",
|
| 1028 |
-
" 'andignorant',\n",
|
| 1029 |
-
" 'andino',\n",
|
| 1030 |
-
" 'andnothers',\n",
|
| 1031 |
-
" 'andntestify',\n",
|
| 1032 |
-
" 'andor',\n",
|
| 1033 |
-
" 'andrea',\n",
|
| 1034 |
-
" 'andrew',\n",
|
| 1035 |
-
" 'android',\n",
|
| 1036 |
-
" 'andxa0',\n",
|
| 1037 |
-
" 'andxa0surveillance',\n",
|
| 1038 |
-
" 'andxcxa0a',\n",
|
| 1039 |
-
" 'andxcxa0he',\n",
|
| 1040 |
-
" 'andxcxa0medicare',\n",
|
| 1041 |
-
" 'andxcxa0sink',\n",
|
| 1042 |
-
" 'andxcxa0social',\n",
|
| 1043 |
-
" 'andxcxa0that',\n",
|
| 1044 |
-
" 'andy',\n",
|
| 1045 |
-
" 'andyou',\n",
|
| 1046 |
-
" 'andys',\n",
|
| 1047 |
-
" 'anecdotal',\n",
|
| 1048 |
-
" 'anelka',\n",
|
| 1049 |
-
" 'anelkas',\n",
|
| 1050 |
-
" 'anew',\n",
|
| 1051 |
-
" 'anf',\n",
|
| 1052 |
-
" 'angel',\n",
|
| 1053 |
-
" 'angeles',\n",
|
| 1054 |
-
" 'angelic',\n",
|
| 1055 |
-
" 'angelnffs',\n",
|
| 1056 |
-
" 'angelos',\n",
|
| 1057 |
-
" 'angels',\n",
|
| 1058 |
-
" 'anger',\n",
|
| 1059 |
-
" 'angle',\n",
|
| 1060 |
-
" 'anglo',\n",
|
| 1061 |
-
" 'anglos',\n",
|
| 1062 |
-
" 'angry',\n",
|
| 1063 |
-
" 'angrys',\n",
|
| 1064 |
-
" 'angsty',\n",
|
| 1065 |
-
" 'anh',\n",
|
| 1066 |
-
" 'ani',\n",
|
| 1067 |
-
" 'animal',\n",
|
| 1068 |
-
" 'animals',\n",
|
| 1069 |
-
" 'animation',\n",
|
| 1070 |
-
" 'anime',\n",
|
| 1071 |
-
" 'animosity',\n",
|
| 1072 |
-
" 'animoto',\n",
|
| 1073 |
-
" 'animus',\n",
|
| 1074 |
-
" 'annabelle',\n",
|
| 1075 |
-
" 'annabortion',\n",
|
| 1076 |
-
" 'annars',\n",
|
| 1077 |
-
" 'annat',\n",
|
| 1078 |
-
" 'annavaram',\n",
|
| 1079 |
-
" 'annaxa0',\n",
|
| 1080 |
-
" 'anndan',\n",
|
| 1081 |
-
" 'announced',\n",
|
| 1082 |
-
" 'announcement',\n",
|
| 1083 |
-
" 'announcements',\n",
|
| 1084 |
-
" 'announcers',\n",
|
| 1085 |
-
" 'annoy',\n",
|
| 1086 |
-
" 'annoyed',\n",
|
| 1087 |
-
" 'annoying',\n",
|
| 1088 |
-
" 'annoys',\n",
|
| 1089 |
-
" 'annual',\n",
|
| 1090 |
-
" 'annul',\n",
|
| 1091 |
-
" 'ano',\n",
|
| 1092 |
-
" 'anointing',\n",
|
| 1093 |
-
" 'anology',\n",
|
| 1094 |
-
" 'anon',\n",
|
| 1095 |
-
" 'anonymous',\n",
|
| 1096 |
-
" 'anonymouseorg',\n",
|
| 1097 |
-
" 'anonymously',\n",
|
| 1098 |
-
" 'another',\n",
|
| 1099 |
-
" 'anothers',\n",
|
| 1100 |
-
" 'anout',\n",
|
| 1101 |
-
" 'ans',\n",
|
| 1102 |
-
" 'anser',\n",
|
| 1103 |
-
" 'answer',\n",
|
| 1104 |
-
" 'answered',\n",
|
| 1105 |
-
" 'answering',\n",
|
| 1106 |
-
" 'answers',\n",
|
| 1107 |
-
" 'ant',\n",
|
| 1108 |
-
" 'antaga',\n",
|
| 1109 |
-
" 'antagonize',\n",
|
| 1110 |
-
" 'anthem',\n",
|
| 1111 |
-
" 'anthems',\n",
|
| 1112 |
-
" 'anthony',\n",
|
| 1113 |
-
" 'anthropophagy',\n",
|
| 1114 |
-
" 'anti',\n",
|
| 1115 |
-
" 'antiabortion',\n",
|
| 1116 |
-
" 'antiamerican',\n",
|
| 1117 |
-
" 'anticipate',\n",
|
| 1118 |
-
" 'anticipated',\n",
|
| 1119 |
-
" 'anticsfirst',\n",
|
| 1120 |
-
" 'antigay',\n",
|
| 1121 |
-
" 'antiimmigrant',\n",
|
| 1122 |
-
" 'antilib',\n",
|
| 1123 |
-
" 'antisemit',\n",
|
| 1124 |
-
" 'antisemitic',\n",
|
| 1125 |
-
" 'antitolerance',\n",
|
| 1126 |
-
" 'antiwar',\n",
|
| 1127 |
-
" 'antlers',\n",
|
| 1128 |
-
" 'ants',\n",
|
| 1129 |
-
" 'antunnaru',\n",
|
| 1130 |
-
" 'anuofia',\n",
|
| 1131 |
-
" 'anus',\n",
|
| 1132 |
-
" 'anxa0nexecutivexa0privilegenclaim',\n",
|
| 1133 |
-
" 'any',\n",
|
| 1134 |
-
" 'anybody',\n",
|
| 1135 |
-
" 'anycockll',\n",
|
| 1136 |
-
" 'anyday',\n",
|
| 1137 |
-
" 'anyhow',\n",
|
| 1138 |
-
" 'anymore',\n",
|
| 1139 |
-
" 'anymorenncan',\n",
|
| 1140 |
-
" 'anymorexcxa0',\n",
|
| 1141 |
-
" 'anynbetter',\n",
|
| 1142 |
-
" 'anynnational',\n",
|
| 1143 |
-
" 'anyone',\n",
|
| 1144 |
-
" 'anyoneits',\n",
|
| 1145 |
-
" 'anyonenhad',\n",
|
| 1146 |
-
" 'anyones',\n",
|
| 1147 |
-
" 'anyonr',\n",
|
| 1148 |
-
" 'anyplacen',\n",
|
| 1149 |
-
" 'anything',\n",
|
| 1150 |
-
" 'anythingnboth',\n",
|
| 1151 |
-
" 'anythingnif',\n",
|
| 1152 |
-
" 'anythingnn',\n",
|
| 1153 |
-
" 'anytime',\n",
|
| 1154 |
-
" 'anytimennget',\n",
|
| 1155 |
-
" 'anyway',\n",
|
| 1156 |
-
" 'anywayit',\n",
|
| 1157 |
-
" 'anyways',\n",
|
| 1158 |
-
" 'anywhere',\n",
|
| 1159 |
-
" 'aok',\n",
|
| 1160 |
-
" 'apa',\n",
|
| 1161 |
-
" 'apart',\n",
|
| 1162 |
-
" 'apartfrom',\n",
|
| 1163 |
-
" 'apartment',\n",
|
| 1164 |
-
" 'ape',\n",
|
| 1165 |
-
" 'apegary',\n",
|
| 1166 |
-
" 'apes',\n",
|
| 1167 |
-
" 'aphrodisiacx',\n",
|
| 1168 |
-
" 'apnay',\n",
|
| 1169 |
-
" 'apni',\n",
|
| 1170 |
-
" 'apo',\n",
|
| 1171 |
-
" 'apologetic',\n",
|
| 1172 |
-
" 'apologies',\n",
|
| 1173 |
-
" 'apologise',\n",
|
| 1174 |
-
" 'apologist',\n",
|
| 1175 |
-
" 'apologists',\n",
|
| 1176 |
-
" 'apologize',\n",
|
| 1177 |
-
" 'apologized',\n",
|
| 1178 |
-
" 'apologizing',\n",
|
| 1179 |
-
" 'apology',\n",
|
| 1180 |
-
" 'apoplectic',\n",
|
| 1181 |
-
" 'apostasy',\n",
|
| 1182 |
-
" 'app',\n",
|
| 1183 |
-
" 'appalachians',\n",
|
| 1184 |
-
" 'appalling',\n",
|
| 1185 |
-
" 'apparent',\n",
|
| 1186 |
-
" 'apparently',\n",
|
| 1187 |
-
" 'appealing',\n",
|
| 1188 |
-
" 'appear',\n",
|
| 1189 |
-
" 'appearance',\n",
|
| 1190 |
-
" 'appeared',\n",
|
| 1191 |
-
" 'appearing',\n",
|
| 1192 |
-
" 'appears',\n",
|
| 1193 |
-
" 'appease',\n",
|
| 1194 |
-
" 'appeasing',\n",
|
| 1195 |
-
" 'applauseking',\n",
|
| 1196 |
-
" 'apple',\n",
|
| 1197 |
-
" 'applegadget',\n",
|
| 1198 |
-
" 'apples',\n",
|
| 1199 |
-
" 'applicable',\n",
|
| 1200 |
-
" 'application',\n",
|
| 1201 |
-
" 'applied',\n",
|
| 1202 |
-
" 'applies',\n",
|
| 1203 |
-
" 'apply',\n",
|
| 1204 |
-
" 'appointed',\n",
|
| 1205 |
-
" 'appoints',\n",
|
| 1206 |
-
" 'appreciate',\n",
|
| 1207 |
-
" 'appreciates',\n",
|
| 1208 |
-
" 'appreciation',\n",
|
| 1209 |
-
" 'apprentice',\n",
|
| 1210 |
-
" 'approaching',\n",
|
| 1211 |
-
" 'approachingxa0',\n",
|
| 1212 |
-
" 'appropriate',\n",
|
| 1213 |
-
" 'approvalnobama',\n",
|
| 1214 |
-
" 'approve',\n",
|
| 1215 |
-
" 'approved',\n",
|
| 1216 |
-
" 'approvel',\n",
|
| 1217 |
-
" 'approximately',\n",
|
| 1218 |
-
" 'apps',\n",
|
| 1219 |
-
" 'appt',\n",
|
| 1220 |
-
" 'april',\n",
|
| 1221 |
-
" 'aquino',\n",
|
| 1222 |
-
" 'aquire',\n",
|
| 1223 |
-
" 'aquiring',\n",
|
| 1224 |
-
" 'ar',\n",
|
| 1225 |
-
" 'arab',\n",
|
| 1226 |
-
" 'arabia',\n",
|
| 1227 |
-
" 'arabs',\n",
|
| 1228 |
-
" 'aramis',\n",
|
| 1229 |
-
" 'arar',\n",
|
| 1230 |
-
" 'aratsass',\n",
|
| 1231 |
-
" 'arbetas',\n",
|
| 1232 |
-
" 'arbitrarynnthe',\n",
|
| 1233 |
-
" 'arborist',\n",
|
| 1234 |
-
" 'arborists',\n",
|
| 1235 |
-
" 'arbystyle',\n",
|
| 1236 |
-
" 'arc',\n",
|
| 1237 |
-
" 'arcade',\n",
|
| 1238 |
-
" 'archangel',\n",
|
| 1239 |
-
" 'architecture',\n",
|
| 1240 |
-
" 'archives',\n",
|
| 1241 |
-
" 'are',\n",
|
| 1242 |
-
" 'area',\n",
|
| 1243 |
-
" 'arealconservatinntill',\n",
|
| 1244 |
-
" 'areas',\n",
|
| 1245 |
-
" 'arefunny',\n",
|
| 1246 |
-
" 'arehope',\n",
|
| 1247 |
-
" 'arena',\n",
|
| 1248 |
-
" 'arenand',\n",
|
| 1249 |
-
" 'arennnpussyblockquotennfuck',\n",
|
| 1250 |
-
" 'arennso',\n",
|
| 1251 |
-
" 'arennthe',\n",
|
| 1252 |
-
" 'arenplease',\n",
|
| 1253 |
-
" 'arent',\n",
|
| 1254 |
-
" 'arenxex0xt',\n",
|
| 1255 |
-
" 'areonly',\n",
|
| 1256 |
-
" 'aressted',\n",
|
| 1257 |
-
" 'arestupid',\n",
|
| 1258 |
-
" 'areufeff',\n",
|
| 1259 |
-
" 'arewere',\n",
|
| 1260 |
-
" 'arexa0',\n",
|
| 1261 |
-
" 'arexa0absolutelyxa0right',\n",
|
| 1262 |
-
" 'arexa0always',\n",
|
| 1263 |
-
" 'arexa0consequencesxa0for',\n",
|
| 1264 |
-
" 'arexa0not',\n",
|
| 1265 |
-
" 'arexa0puzzling',\n",
|
| 1266 |
-
" 'arexa0xa0there',\n",
|
| 1267 |
-
" 'arexcxa0',\n",
|
| 1268 |
-
" 'argentina',\n",
|
| 1269 |
-
" 'argentine',\n",
|
| 1270 |
-
" 'argentinean',\n",
|
| 1271 |
-
" 'argentines',\n",
|
| 1272 |
-
" 'argentinians',\n",
|
| 1273 |
-
" 'argie',\n",
|
| 1274 |
-
" 'argies',\n",
|
| 1275 |
-
" 'argo',\n",
|
| 1276 |
-
" 'arguaments',\n",
|
| 1277 |
-
" 'argue',\n",
|
| 1278 |
-
" 'argued',\n",
|
| 1279 |
-
" 'arguement',\n",
|
| 1280 |
-
" 'arguements',\n",
|
| 1281 |
-
" 'arguing',\n",
|
| 1282 |
-
" 'argument',\n",
|
| 1283 |
-
" 'arguments',\n",
|
| 1284 |
-
" 'aries',\n",
|
| 1285 |
-
" 'aristocracy',\n",
|
| 1286 |
-
" 'aritculett',\n",
|
| 1287 |
-
" 'arizona',\n",
|
| 1288 |
-
" 'arkannnyou',\n",
|
| 1289 |
-
" 'arlington',\n",
|
| 1290 |
-
" 'arm',\n",
|
| 1291 |
-
" 'armando',\n",
|
| 1292 |
-
" 'armies',\n",
|
| 1293 |
-
" 'armiesnnthe',\n",
|
| 1294 |
-
" 'armpits',\n",
|
| 1295 |
-
" 'arms',\n",
|
| 1296 |
-
" 'army',\n",
|
| 1297 |
-
" 'armyin',\n",
|
| 1298 |
-
" 'arnt',\n",
|
| 1299 |
-
" 'arod',\n",
|
| 1300 |
-
" 'aroud',\n",
|
| 1301 |
-
" 'around',\n",
|
| 1302 |
-
" 'aroundnnso',\n",
|
| 1303 |
-
" 'arrange',\n",
|
| 1304 |
-
" 'arrangements',\n",
|
| 1305 |
-
" 'arrangementsnntell',\n",
|
| 1306 |
-
" 'arrest',\n",
|
| 1307 |
-
" 'arrested',\n",
|
| 1308 |
-
" 'arrestedndid',\n",
|
| 1309 |
-
" 'arrests',\n",
|
| 1310 |
-
" 'arrive',\n",
|
| 1311 |
-
" 'arrived',\n",
|
| 1312 |
-
" 'arriving',\n",
|
| 1313 |
-
" 'arrnott',\n",
|
| 1314 |
-
" 'arrogance',\n",
|
| 1315 |
-
" 'arrogant',\n",
|
| 1316 |
-
" 'arrogate',\n",
|
| 1317 |
-
" 'ars',\n",
|
| 1318 |
-
" 'arse',\n",
|
| 1319 |
-
" 'arseanal',\n",
|
| 1320 |
-
" 'arsehole',\n",
|
| 1321 |
-
" 'arsenal',\n",
|
| 1322 |
-
" 'arsenalnxa0ni',\n",
|
| 1323 |
-
" 'arsene',\n",
|
| 1324 |
-
" 'art',\n",
|
| 1325 |
-
" 'article',\n",
|
| 1326 |
-
" 'articlennin',\n",
|
| 1327 |
-
" 'articles',\n",
|
| 1328 |
-
" 'articlexa0bdonald',\n",
|
| 1329 |
-
" 'articulate',\n",
|
| 1330 |
-
" 'articulett',\n",
|
| 1331 |
-
" 'artificial',\n",
|
| 1332 |
-
" 'artist',\n",
|
| 1333 |
-
" 'artists',\n",
|
| 1334 |
-
" 'arufeffe',\n",
|
| 1335 |
-
" 'arum',\n",
|
| 1336 |
-
" 'as',\n",
|
| 1337 |
-
" 'asad',\n",
|
| 1338 |
-
" 'asami',\n",
|
| 1339 |
-
" 'asap',\n",
|
| 1340 |
-
" 'asdrubal',\n",
|
| 1341 |
-
" 'ashamed',\n",
|
| 1342 |
-
" 'ashewo',\n",
|
| 1343 |
-
" 'ashley',\n",
|
| 1344 |
-
" 'ashole',\n",
|
| 1345 |
-
" ...]"
|
| 1346 |
-
]
|
| 1347 |
-
},
|
| 1348 |
-
"execution_count": 36,
|
| 1349 |
-
"metadata": {},
|
| 1350 |
-
"output_type": "execute_result"
|
| 1351 |
-
}
|
| 1352 |
-
],
|
| 1353 |
-
"source": [
|
| 1354 |
-
"cv.get_feature_names()"
|
| 1355 |
-
]
|
| 1356 |
-
},
|
| 1357 |
-
{
|
| 1358 |
-
"cell_type": "code",
|
| 1359 |
-
"execution_count": 38,
|
| 1360 |
-
"metadata": {},
|
| 1361 |
-
"outputs": [],
|
| 1362 |
-
"source": [
|
| 1363 |
-
"#model Building\n",
|
| 1364 |
-
"\n",
|
| 1365 |
-
"from sklearn.model_selection import train_test_split"
|
| 1366 |
-
]
|
| 1367 |
-
},
|
| 1368 |
-
{
|
| 1369 |
-
"cell_type": "code",
|
| 1370 |
-
"execution_count": 39,
|
| 1371 |
-
"metadata": {},
|
| 1372 |
-
"outputs": [],
|
| 1373 |
-
"source": [
|
| 1374 |
-
"X_train, X_test, y_train, y_test = train_test_split(X, df_y, test_size=0.3, random_state=42)"
|
| 1375 |
-
]
|
| 1376 |
-
},
|
| 1377 |
-
{
|
| 1378 |
-
"cell_type": "code",
|
| 1379 |
-
"execution_count": 40,
|
| 1380 |
-
"metadata": {},
|
| 1381 |
-
"outputs": [
|
| 1382 |
-
{
|
| 1383 |
-
"data": {
|
| 1384 |
-
"text/plain": [
|
| 1385 |
-
"<3060x18923 sparse matrix of type '<class 'numpy.int64'>'\n",
|
| 1386 |
-
"\twith 71327 stored elements in Compressed Sparse Row format>"
|
| 1387 |
-
]
|
| 1388 |
-
},
|
| 1389 |
-
"execution_count": 40,
|
| 1390 |
-
"metadata": {},
|
| 1391 |
-
"output_type": "execute_result"
|
| 1392 |
-
}
|
| 1393 |
-
],
|
| 1394 |
-
"source": [
|
| 1395 |
-
"X_train"
|
| 1396 |
-
]
|
| 1397 |
-
},
|
| 1398 |
-
{
|
| 1399 |
-
"cell_type": "code",
|
| 1400 |
-
"execution_count": 46,
|
| 1401 |
-
"metadata": {},
|
| 1402 |
-
"outputs": [
|
| 1403 |
-
{
|
| 1404 |
-
"data": {
|
| 1405 |
-
"text/plain": [
|
| 1406 |
-
"0.8147865853658537"
|
| 1407 |
-
]
|
| 1408 |
-
},
|
| 1409 |
-
"execution_count": 46,
|
| 1410 |
-
"metadata": {},
|
| 1411 |
-
"output_type": "execute_result"
|
| 1412 |
-
}
|
| 1413 |
-
],
|
| 1414 |
-
"source": [
|
| 1415 |
-
"#logistic Regression 81%\n",
|
| 1416 |
-
"\n",
|
| 1417 |
-
"from sklearn.linear_model import LogisticRegression\n",
|
| 1418 |
-
"clf = LogisticRegression()\n",
|
| 1419 |
-
"clf.fit(X_train, y_train)\n",
|
| 1420 |
-
"clf.score(X_test, y_test)"
|
| 1421 |
-
]
|
| 1422 |
-
},
|
| 1423 |
-
{
|
| 1424 |
-
"cell_type": "code",
|
| 1425 |
-
"execution_count": 47,
|
| 1426 |
-
"metadata": {},
|
| 1427 |
-
"outputs": [],
|
| 1428 |
-
"source": [
|
| 1429 |
-
"# #naive bayes 77%\n",
|
| 1430 |
-
"\n",
|
| 1431 |
-
"# from sklearn.naive_bayes import MultinomialNB\n",
|
| 1432 |
-
"# clf = MultinomialNB()\n",
|
| 1433 |
-
"# clf.fit(X_train, y_train)\n",
|
| 1434 |
-
"# clf.score(X_test, y_test)"
|
| 1435 |
-
]
|
| 1436 |
-
},
|
| 1437 |
-
{
|
| 1438 |
-
"cell_type": "code",
|
| 1439 |
-
"execution_count": 48,
|
| 1440 |
-
"metadata": {},
|
| 1441 |
-
"outputs": [
|
| 1442 |
-
{
|
| 1443 |
-
"data": {
|
| 1444 |
-
"text/plain": [
|
| 1445 |
-
"array([1, 1, 0, ..., 0, 0, 0], dtype=int64)"
|
| 1446 |
-
]
|
| 1447 |
-
},
|
| 1448 |
-
"execution_count": 48,
|
| 1449 |
-
"metadata": {},
|
| 1450 |
-
"output_type": "execute_result"
|
| 1451 |
-
}
|
| 1452 |
-
],
|
| 1453 |
-
"source": [
|
| 1454 |
-
"clf.predict(X_test)"
|
| 1455 |
-
]
|
| 1456 |
-
},
|
| 1457 |
-
{
|
| 1458 |
-
"cell_type": "code",
|
| 1459 |
-
"execution_count": 49,
|
| 1460 |
-
"metadata": {},
|
| 1461 |
-
"outputs": [],
|
| 1462 |
-
"source": [
|
| 1463 |
-
"#sample prediction\n",
|
| 1464 |
-
"comment = ['Hello fine boy']\n",
|
| 1465 |
-
"vect = cv.transform(comment).toarray() "
|
| 1466 |
-
]
|
| 1467 |
-
},
|
| 1468 |
-
{
|
| 1469 |
-
"cell_type": "code",
|
| 1470 |
-
"execution_count": 50,
|
| 1471 |
-
"metadata": {},
|
| 1472 |
-
"outputs": [
|
| 1473 |
-
{
|
| 1474 |
-
"data": {
|
| 1475 |
-
"text/plain": [
|
| 1476 |
-
"array([0], dtype=int64)"
|
| 1477 |
-
]
|
| 1478 |
-
},
|
| 1479 |
-
"execution_count": 50,
|
| 1480 |
-
"metadata": {},
|
| 1481 |
-
"output_type": "execute_result"
|
| 1482 |
-
}
|
| 1483 |
-
],
|
| 1484 |
-
"source": [
|
| 1485 |
-
"clf.predict(vect)"
|
| 1486 |
-
]
|
| 1487 |
-
},
|
| 1488 |
-
{
|
| 1489 |
-
"cell_type": "code",
|
| 1490 |
-
"execution_count": 51,
|
| 1491 |
-
"metadata": {},
|
| 1492 |
-
"outputs": [
|
| 1493 |
-
{
|
| 1494 |
-
"name": "stdout",
|
| 1495 |
-
"output_type": "stream",
|
| 1496 |
-
"text": [
|
| 1497 |
-
"Not Hate Speech\n"
|
| 1498 |
-
]
|
| 1499 |
-
}
|
| 1500 |
-
],
|
| 1501 |
-
"source": [
|
| 1502 |
-
"if clf.predict(vect) == 1:\n",
|
| 1503 |
-
" print(\"Hate Sppech\")\n",
|
| 1504 |
-
"else:\n",
|
| 1505 |
-
" print(\"Not Hate Speech\")"
|
| 1506 |
-
]
|
| 1507 |
-
},
|
| 1508 |
-
{
|
| 1509 |
-
"cell_type": "code",
|
| 1510 |
-
"execution_count": 53,
|
| 1511 |
-
"metadata": {},
|
| 1512 |
-
"outputs": [
|
| 1513 |
-
{
|
| 1514 |
-
"data": {
|
| 1515 |
-
"text/plain": [
|
| 1516 |
-
"array([1], dtype=int64)"
|
| 1517 |
-
]
|
| 1518 |
-
},
|
| 1519 |
-
"execution_count": 53,
|
| 1520 |
-
"metadata": {},
|
| 1521 |
-
"output_type": "execute_result"
|
| 1522 |
-
}
|
| 1523 |
-
],
|
| 1524 |
-
"source": [
|
| 1525 |
-
"#sample prediction 2\n",
|
| 1526 |
-
"comment2 = ['fuck you nigga']\n",
|
| 1527 |
-
"vect2 = cv.transform(comment2).toarray()\n",
|
| 1528 |
-
"clf.predict(vect2)"
|
| 1529 |
-
]
|
| 1530 |
-
},
|
| 1531 |
-
{
|
| 1532 |
-
"cell_type": "code",
|
| 1533 |
-
"execution_count": 54,
|
| 1534 |
-
"metadata": {},
|
| 1535 |
-
"outputs": [],
|
| 1536 |
-
"source": [
|
| 1537 |
-
"import pickle"
|
| 1538 |
-
]
|
| 1539 |
-
},
|
| 1540 |
-
{
|
| 1541 |
-
"cell_type": "code",
|
| 1542 |
-
"execution_count": 55,
|
| 1543 |
-
"metadata": {},
|
| 1544 |
-
"outputs": [],
|
| 1545 |
-
"source": [
|
| 1546 |
-
"logisticML = open(\"myFinalModel.pkl\", \"wb\")"
|
| 1547 |
-
]
|
| 1548 |
-
},
|
| 1549 |
-
{
|
| 1550 |
-
"cell_type": "code",
|
| 1551 |
-
"execution_count": 56,
|
| 1552 |
-
"metadata": {},
|
| 1553 |
-
"outputs": [],
|
| 1554 |
-
"source": [
|
| 1555 |
-
"pickle.dump(clf, logisticML)"
|
| 1556 |
-
]
|
| 1557 |
-
},
|
| 1558 |
-
{
|
| 1559 |
-
"cell_type": "code",
|
| 1560 |
-
"execution_count": 57,
|
| 1561 |
-
"metadata": {},
|
| 1562 |
-
"outputs": [],
|
| 1563 |
-
"source": [
|
| 1564 |
-
"logisticML.close()"
|
| 1565 |
-
]
|
| 1566 |
-
},
|
| 1567 |
-
{
|
| 1568 |
-
"cell_type": "code",
|
| 1569 |
-
"execution_count": 58,
|
| 1570 |
-
"metadata": {},
|
| 1571 |
-
"outputs": [],
|
| 1572 |
-
"source": [
|
| 1573 |
-
"\n",
|
| 1574 |
-
"\n",
|
| 1575 |
-
"#load the model\n",
|
| 1576 |
-
"my_model = open(\"myFinalModel.pkl\", \"rb\")\n",
|
| 1577 |
-
"new_model = pickle.load(my_model)"
|
| 1578 |
-
]
|
| 1579 |
-
},
|
| 1580 |
-
{
|
| 1581 |
-
"cell_type": "code",
|
| 1582 |
-
"execution_count": null,
|
| 1583 |
-
"metadata": {},
|
| 1584 |
-
"outputs": [],
|
| 1585 |
-
"source": []
|
| 1586 |
-
}
|
| 1587 |
-
],
|
| 1588 |
-
"metadata": {
|
| 1589 |
-
"kernelspec": {
|
| 1590 |
-
"display_name": "Python 3",
|
| 1591 |
-
"language": "python",
|
| 1592 |
-
"name": "python3"
|
| 1593 |
-
},
|
| 1594 |
-
"language_info": {
|
| 1595 |
-
"codemirror_mode": {
|
| 1596 |
-
"name": "ipython",
|
| 1597 |
-
"version": 3
|
| 1598 |
-
},
|
| 1599 |
-
"file_extension": ".py",
|
| 1600 |
-
"mimetype": "text/x-python",
|
| 1601 |
-
"name": "python",
|
| 1602 |
-
"nbconvert_exporter": "python",
|
| 1603 |
-
"pygments_lexer": "ipython3",
|
| 1604 |
-
"version": "3.6.8"
|
| 1605 |
-
}
|
| 1606 |
-
},
|
| 1607 |
-
"nbformat": 4,
|
| 1608 |
-
"nbformat_minor": 4
|
| 1609 |
-
}
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