文章提取关键词_jieba(IF-IDF/TextRank)

1、基于TextRank的提取文章关键词:extract_keyword_textrank.py:

#!usr/bin/env python
#-*- coding:utf-8-*-
import jieba
import jieba.analyse
import codecs
file_path='./data/000000_0'
result_file_path="./data/000000_0_result_textrank"
f=open(file_path,'r')
f_result=codecs.open(result_file_path,'w+','utf-8')
f_result.write('[\n')
texts=f.readlines()
num_text=0
for text in texts:
	text_id=texts.split('\t')[0]
	text_content=texts.split('\t')[3]
	f_result.write('{\"text_id\": %s\n'% text_id)
	
	keywords=jieba.analyse.textrank(text_content,topK=20,withWeight=True,allowPOS=('ns', 'n', 'vn', 'v'),withFlag=True)
	f_result.write('\"keyword\":{')
	num_text+=1
	for keyword in keywords:
		(word,flag)=keyword[0]
		weight=keyword[1]
		f_result.write('\"word\":%s,\"weight\":%s,\"nature\": %s\n'% (word,weight,flag))
	f_result.write('}\n')
	if num_text%100=0:
		print "已经处理%s篇文章" % num_text
f_result.write(']\n')
print "总共处理%s篇文章" num_text
	
f_result.close()
f.close()

2.基于IF-IDF的提取文章关键词extract_keywod_ifidf.py：

#!usr/bin/env python
#-*- coding:utf-8-*-
import jieba
import jieba.analyse
import codecs
file_path='./data/000000_0'
result_file_path="./data/000000_0_result_ifidf"
f=open(file_path,'r')
f_result=codecs.open(result_file_path,'w+','utf-8')
f_result.write('[')
texts=f.readlines()
num_text=0
for text in texts:
	text_id=texts.split('\t')[0]
	text_content=texts.split('\t')[3]
	f_result.write('{\"text_id\": %s\n'% text_id)
	
	keywords=jieba.analyse.extract_tags(text_content,topK=20,withWeight=True,allowPOS=('ns', 'n', 'vn', 'v'),withFlag=True)
	f_result.write('\"keyword\":{')
	num_text+=1
	for keyword in keywords:
		(word,flag)=keyword[0]
		weight=keyword[1]
		f_result.write('\"word\":%s,\"weight\":%s,\"nature\": %s\n'% (word,weight,flag))
	f_result.write('}')
	if num_text%100=0:
		print "已经处理%s篇文章" % num_text
f_result.write(']')
print "总共处理%s篇文章" %num_text
f_result.close()
f.close()