SentenceSplit.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"\\nl=[]\\ninput_file = 'Sentence_test'\\n#2016_수능특강_국어_화작문_orbi\\noutput_file = input_file+'_sliced'\\n#긍부정_2016_수능특강_국어_화작문_orbi\\ndf=pd.DataFrame({'sentence':sliceSentence(input_file)})\\ndf.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)\\n\""
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import konlpy\n",
    "import csv\n",
    "import sys\n",
    "from pandas import DataFrame\n",
    "import pandas as pd\n",
    "from konlpy.tag import Kkma\n",
    "\n",
    "def split(text):\n",
    "    kkma = Kkma()\n",
    "    List=kkma.sentences(text)\n",
    "    return List\n",
    "\n",
    "def getCsv(input_file,titleList,contentList,commentList):\n",
    "    f=open(input_file+'.csv','r')\n",
    "    csvReader=csv.reader(f)\n",
    "    for i in csvReader:\n",
    "        titleList.append(i[0])\n",
    "        contentList.append(i[2])\n",
    "        commentList.append(i[6])\n",
    "    f.close()\n",
    "\n",
    "def sliceSentence(input_file):\n",
    "    index=0\n",
    "    titleList=[]\n",
    "    contentList=[]\n",
    "    commentList=[]\n",
    "    AllList=[]\n",
    "    getCsv(input_file, titleList,contentList,commentList)\n",
    "    print(len(contentList))\n",
    "    for index in range(1,len(contentList)):\n",
    "        AllList.extend(split(titleList[index]))\n",
    "        AllList.extend(split(contentList[index]))\n",
    "        AllList.extend(split(commentList[index]))\n",
    "        index+=1\n",
    "        print('Loading')\n",
    "    return AllList\n",
    "\n",
    "'''\n",
    "l=[]\n",
    "input_file = 'Sentence_test'\n",
    "#2016_수능특강_국어_화작문_orbi\n",
    "output_file = input_file+'_sliced'\n",
    "#긍부정_2016_수능특강_국어_화작문_orbi\n",
    "df=pd.DataFrame({'sentence':sliceSentence(input_file)})\n",
    "df.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "615\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n"
     ]
    }
   ],
   "source": [
    "\n",
    "l=[]\n",
    "input_file = 'NonReview/sunung_2016_1'\n",
    "#2016_수능특강_국어_화작문_orbi\n",
    "output_file = 'sliced_'+input_file\n",
    "#긍부정_2016_수능특강_국어_화작문_orbi\n",
    "df=pd.DataFrame({'sentence':sliceSentence(input_file)})\n",
    "df.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NonReview/sliced_sunung_2016_2\n",
      "622\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n"
     ]
    }
   ],
   "source": [
    "\n",
    "l=[]\n",
    "folder = 'NonReview/'\n",
    "file = 'sunung_2016_2'\n",
    "input_file = folder+file\n",
    "#2016_수능특강_국어_화작문_orbi\n",
    "output_file = folder+'sliced_'+file\n",
    "print(output_file)\n",
    "\n",
    "#긍부정_2016_수능특강_국어_화작문_orbi\n",
    "df=pd.DataFrame({'sentence':sliceSentence(input_file)})\n",
    "df.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NonReview/sliced_sunung_2017_1\n",
      "700\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n",
      "Loading\n"
     ]
    }
   ],
   "source": [
    "\n",
    "l=[]\n",
    "folder = 'NonReview/'\n",
    "file = 'sunung_2017_1'\n",
    "input_file = folder+file\n",
    "#2016_수능특강_국어_화작문_orbi\n",
    "output_file = folder+'sliced_'+file\n",
    "print(output_file)\n",
    "\n",
    "#긍부정_2016_수능특강_국어_화작문_orbi\n",
    "df=pd.DataFrame({'sentence':sliceSentence(input_file)})\n",
    "df.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NonReview/sliced_sunung_2017_2\n"
     ]
    },
    {
     "ename": "UnicodeDecodeError",
     "evalue": "'cp949' codec can't decode byte 0xec in position 57: illegal multibyte sequence",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-4e3138f5f58a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     10\u001b[0m \u001b[1;31m#긍부정_2016_수능특강_국어_화작문_orbi\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 11\u001b[1;33m \u001b[0mdf\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;34m'sentence'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0msliceSentence\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minput_file\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     12\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0moutput_file\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;34m'.csv'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'utf-8-sig'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-2-f1c212ff0772>\u001b[0m in \u001b[0;36msliceSentence\u001b[1;34m(input_file)\u001b[0m\n\u001b[0;32m     26\u001b[0m     \u001b[0mcommentList\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     27\u001b[0m     \u001b[0mAllList\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 28\u001b[1;33m     \u001b[0mgetCsv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minput_file\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtitleList\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcontentList\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mcommentList\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     29\u001b[0m     \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcontentList\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     30\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mindex\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcontentList\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-2-f1c212ff0772>\u001b[0m in \u001b[0;36mgetCsv\u001b[1;34m(input_file, titleList, contentList, commentList)\u001b[0m\n\u001b[0;32m     14\u001b[0m     \u001b[0mf\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0minput_file\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;34m'.csv'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'r'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m     \u001b[0mcsvReader\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcsv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m     \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcsvReader\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     17\u001b[0m         \u001b[0mtitleList\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m         \u001b[0mcontentList\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mUnicodeDecodeError\u001b[0m: 'cp949' codec can't decode byte 0xec in position 57: illegal multibyte sequence"
     ]
    }
   ],
   "source": [
    "\n",
    "l=[]\n",
    "folder = 'NonReview/'\n",
    "file = 'sunung_2017_2'\n",
    "input_file = folder+file\n",
    "#2016_수능특강_국어_화작문_orbi\n",
    "output_file = folder+'sliced_'+file\n",
    "print(output_file)\n",
    "\n",
    "#긍부정_2016_수능특강_국어_화작문_orbi\n",
    "df=pd.DataFrame({'sentence':sliceSentence(input_file)})\n",
    "df.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "l=[]\n",
    "folder = 'NonReview/'\n",
    "file = 'sunung_2017_3'\n",
    "input_file = folder+file\n",
    "#2016_수능특강_국어_화작문_orbi\n",
    "output_file = folder+'sliced_'+file\n",
    "print(output_file)\n",
    "\n",
    "#긍부정_2016_수능특강_국어_화작문_orbi\n",
    "df=pd.DataFrame({'sentence':sliceSentence(input_file)})\n",
    "df.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "l=[]\n",
    "folder = 'NonReview/'\n",
    "file = 'sunung_2017_4'\n",
    "input_file = folder+file\n",
    "#2016_수능특강_국어_화작문_orbi\n",
    "output_file = folder+'sliced_'+file\n",
    "print(output_file)\n",
    "\n",
    "#긍부정_2016_수능특강_국어_화작문_orbi\n",
    "df=pd.DataFrame({'sentence':sliceSentence(input_file)})\n",
    "df.to_csv(output_file+'.csv', encoding='utf-8-sig', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}