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\t\t 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:\users\wangyuguang\appdata\local\temp\jieba.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