{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"# **나이브베이즈 한글 적용**\n",
"nltk를 활용한 네이버 영화리뷰 평가모델 [nltk book](https://www.nltk.org/book/ch06.html) | [nltk How to](http://www.nltk.org/howto/classify.html)\n",
"1. 0 : 부정적인 리뷰\n",
"1. 1 : 긍정적인 리뷰"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"## **1 NAVER 영화리뷰 데이터 전처리**\n",
"1. https://github.com/e9t/nsmc\n",
"1. https://www.nltk.org/book/ch06.html"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# ! cat ./data/ratings_test.txt | head -n 10"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"def read_data(filename):\n",
" with open(filename, 'r', encoding='utf-8') as f:\n",
" data = [line.split('\\t') for line in f.read().splitlines()]\n",
" data = data[1:] # header 제외\n",
" \n",
" from random import randint\n",
" random_data = [data[randint(1, len(data))] for no in range(int(len(data)/20)) ]\n",
" return random_data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Train_data (7500)\n",
"sample : [['5435159', '헤픈여자들의 어장관리와 걸레모은것같은 삼류상상영화', '0'], ['7655921', '시간남아돌때~잠깐 자고싶은데 잘때가 없을때~~그외 비추~', '0'], ['8905895', '지금봐도 재밌따 ㅎㄷㄷ', '1']]\n",
"Test_data (2500)\n",
"sample : [['1736405', '최고의영화', '1'], ['1194109', '작품성은있는듯하나 정말 지루하고 졸림', '0'], ['4392419', '쓰레기같은 연출, 쓰레기같은 메세지', '0']]\n"
]
}
],
"source": [
"train_data = read_data('../data/ratings_train.txt')\n",
"test_data = read_data('../data/ratings_test.txt')\n",
"\n",
"print('Train_data ({})\\nsample : {}\\nTest_data ({})\\nsample : {}'.format(\n",
" len(train_data), train_data[:3],\n",
" len(test_data), test_data[:3]))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[(['헤픈/Noun',\n",
" '여자/Noun',\n",
" '들/Suffix',\n",
" '의/Josa',\n",
" '어장/Noun',\n",
" '관리/Noun',\n",
" '와/Josa',\n",
" '걸레/Noun',\n",
" '모으다/Verb',\n",
" '같다/Adjective',\n",
" '삼류/Noun',\n",
" '상상/Noun',\n",
" '영화/Noun'],\n",
" '0'),\n",
" (['시간/Noun',\n",
" '남아/Noun',\n",
" '돌때/Noun',\n",
" '~/Punctuation',\n",
" '잠깐/Noun',\n",
" '자다/Verb',\n",
" '자다/Verb',\n",
" '때/Noun',\n",
" '가/Josa',\n",
" '없다/Adjective',\n",
" '때/Noun',\n",
" '~~/Punctuation',\n",
" '그/Determiner',\n",
" '외/Noun',\n",
" '비추다/Verb',\n",
" '~/Punctuation'],\n",
" '0')]\n",
"CPU times: user 19.1 s, sys: 229 ms, total: 19.3 s\n",
"Wall time: 12.3 s\n"
]
}
],
"source": [
"%%time\n",
"from konlpy.tag import Twitter\n",
"twitter = Twitter()\n",
"\n",
"def tokenize(doc):\n",
" result = ['/'.join(t) for t in twitter.pos(doc, norm=True, stem=True)]\n",
" return result \n",
"\n",
"train_docs = [(tokenize(row[1]), row[2]) for row in train_data]\n",
"test_docs = [(tokenize(row[1]), row[2]) for row in test_data]\n",
"\n",
"from pprint import pprint\n",
"pprint(train_docs[:2])"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Token Total :109474\n",
"Sample : ['헤픈/Noun', '여자/Noun', '들/Suffix', '의/Josa', '어장/Noun']\n"
]
}
],
"source": [
"tokens = [t for d in train_docs \n",
" for t in d[0]]\n",
"print(\"Token Total :{}\\nSample : {}\".format(\n",
" len(tokens), tokens[:5]))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"
\n",
"## **2 nltk 를 활용하여 연산모델 만들기**\n",
"https://github.com/e9t/nsmc"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"number of Token : 109474 \n",
"unique Token : 10882\n",
"\n",
"[('./Punctuation', 3429),\n",
" ('영화/Noun', 2574),\n",
" ('하다/Verb', 2485),\n",
" ('이/Josa', 1898),\n",
" ('보다/Verb', 1687),\n",
" ('의/Josa', 1583),\n",
" ('../Punctuation', 1423),\n",
" ('가/Josa', 1399),\n",
" ('에/Josa', 1384),\n",
" ('을/Josa', 1199),\n",
" ('도/Josa', 1173),\n",
" ('.../Punctuation', 1157),\n",
" (',/Punctuation', 924),\n",
" ('들/Suffix', 920),\n",
" ('은/Josa', 889),\n",
" ('는/Josa', 842),\n",
" ('없다/Adjective', 809),\n",
" ('를/Josa', 758),\n",
" ('있다/Adjective', 617),\n",
" ('좋다/Adjective', 615)]\n"
]
}
],
"source": [
"import nltk\n",
"text = nltk.Text(tokens, name='네이버리뷰')\n",
"\n",
"print(\"number of Token : {} \\nunique Token : {}\\n\".format(\n",
" len(text.tokens), len(set(text.tokens))))\n",
"pprint(text.vocab().most_common(20)) "
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
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\n",
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