Python 結巴分詞（2）關鍵字提取

 

提取關鍵字的文章是，小說完美世界的前十章；

我事先把前十章合並到了一個文件中；

然后直接調用關鍵字函數；

import sys
sys.path.append('../')

import jieba
import jieba.analyse
from optparse import OptionParser#引入關鍵詞的包
from docopt import docopt
data_path = "C:\\Users\\wangyuguang\\Desktop\\work_data\\profect_world\\"
topK = 10
withWeight = False
content = ""
for i in range(1,2):
    Data_path = data_path + "he"+".txt"
    content ="".join(open(Data_path, 'rb').read())
# print content
tags = jieba.analyse.extract_tags(content, topK=topK, withWeight=withWeight)#直接調用

if withWeight is True:
    for tag in tags:
        print("tag: %s\t\t weight: %f" % (tag[0],tag[1]))
else:
    print(",".join(tags))

關鍵字結果：

Building prefix dict from the default dictionary ...
Loading model from cache c:\users\wangyuguang\appdata\local\temp\jieba.cache
Loading model cost 0.386 seconds.
Prefix dict has been built succesfully.
小不點,孩子,族長,石雲峰,石村,凶禽,青鱗鷹,凶獸,一群,石昊