利用结巴分词的Python版本实现分词并统计词频

最近在做文本处理，统计词频这个东西大家都熟悉了，直接贴代码方便以后找吧

Python 版本

Python 3.5.2 |Anaconda 4.2.0 (64-bit)|

#!/usr/bin/python
# -*- coding:utf-8 -*-

import sys
import importlib
importlib.reload(sys)

import jieba
import jieba.analyse
import xlwt  # 写入Excel表的库

if __name__ == "__main__":

wbk = xlwt.Workbook(encoding='ascii')
sheet = wbk.add_sheet("wordCount")  # Excel单元格名字
word_lst = []
key_list = []
for line in open('1.txt',encoding= 'utf-8'):  # 1.txt是需要分词统计的文档

item = line.strip('\n\r').split('\t')  # 制表格切分
# print item
tags = jieba.analyse.extract_tags(item[0])  # jieba分词
for t in tags:
word_lst.append(t)

word_dict = {}
with open("wordCount.txt", 'w') as wf2:  # 打开文件

for item in word_lst:
if item not in word_dict:  # 统计数量
word_dict[item] = 1
else:
word_dict[item] += 1

orderList = list(word_dict.values())
orderList.sort(reverse=True)
# print orderList
for i in range(len(orderList)):
for key in word_dict:
if word_dict[key] == orderList[i]:
wf2.write(key + ' ' + str(word_dict[key]) + '\n')  # 写入txt文档
key_list.append(key)
word_dict[key] = 0

for i in range(len(key_list)):
sheet.write(i, 1, label=orderList[i])
sheet.write(i, 0, label=key_list[i])
wbk.save('wordCount.xls')  # 保存为 wordCount.xls文件

需要在python程序同级目录新建三个文件

1.txt

wordCount.txt

wordCount.xls

1.txt存放待处理文本，其余两个空白即可