{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br></br>\n",
    "# **Stop Words**\n",
    "**[불용어 언어목록 보는 파이썬 코드내용](https://stackoverflow.com/questions/48641112/why-the-num-of-languages-in-nltk-corpus-stop-words-is-different-depending-on-t)**\n",
    "<br></br>\n",
    "## **1 불용어 처리**\n",
    "Stop Words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 영문 내용을 소문자로 전처리\n",
    "texts = 'I like such a Wonderful Snow Ice Cream'\n",
    "texts = texts.lower()\n",
    "texts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# text를 token으로 변환\n",
    "from nltk import word_tokenize\n",
    "tokens = word_tokenize(texts)\n",
    "tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import nltk\n",
    "# nltk.download('stopwords')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Stopwords 사용가능한 언어목록 \n",
    "from nltk.corpus import stopwords\n",
    "stopwords.ensure_loaded\n",
    "stopwords.__dict__.get('_fileids')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.corpus import stopwords\n",
    "stopwords.words(\"=Quiz!=\")[::18]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokens = [word   for word in tokens   \n",
    "                 if word not in stopwords.words(\"=Quiz!=\")]\n",
    "print(tokens)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br></br>\n",
    "## **2 한글의 불용어 처리**\n",
    "인터넷에 공개되어 있는 불용어100 자료 (idf 값까지 txt에는 포함)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 한글 텍스트자료 불러오기\n",
    "f = open('./data/stopword_kr.txt', 'r', encoding='utf-8')\n",
    "s = f.read()\n",
    "f.close()\n",
    "\n",
    "stop_words = [ txt.split('\\t')[:3]  for txt in s.split('\\n') ]\n",
    "stop_words[:10]"
   ]
  }
 ],
 "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": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}