Python 结巴分词（2）关键字提取

提取关键字的文章是，小说完美世界的前十章；

我事先把前十章合并到了一个文件中；

然后直接调用关键字函数；

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

import jieba
import jieba.analyse
from optparse import OptionParser#引入关键词的包
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)#直接调用

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

关键字结果：

Building prefix dict from the default dictionary ...
Loading model from cache c:userswangyuguangappdatalocal	empjieba.cache
Loading model cost 0.386 seconds.
Prefix dict has been built succesfully.
小不点,孩子,族长,石云峰,石村,凶禽,青鳞鹰,凶兽,一群,石昊