中文词频统计及词云制做

一、中软国际华南区技术总监曾老师还会来上两次课，同窗们但愿曾老师讲些什么内容？（认真想想回答）

a、关于这门课的相关工做经历

b、本身对于这门课的见解

二、中文分词

a、以前的英文练习将要测试词频的文章放在一个TXT里，

>>> fo = open('kang.txt','w')
>>> fo.write('''A Chinese company offering sex dolls for rent has withdrawn its services just days after launching.

Touch had begun offering five different sex doll types for daily or longer-term rent on Thursday in Beijing but quickly drew complaints and criticism.

The company said in a statement on Weibo it "sincerely apologised for the negative impact" of the concept.

But the firm stressed sex was "not vulgar" and said it would keep working towards more people enjoying it.

Touch told the BBC the rental service had operated for two days.

"We prepared ten dolls for the trial operation," a company spokesperson said via email, adding that they received very positive feedback from users.

"But it’s really hard in China," the firm wrote, saying there had been a lot of controversy with the police over the issue.

The company had offered the sex dolls for a daily fee of 298 yuan ($46), according to Chinese media.

The models on offer were marketed as Chinese, Korean and Russian women, with one also modelled on the movie character Wonder Woman, complete with a sword and shield.

In its Weibo statement, the firm said its original intention had been to make expensive silicone dolls more affordable but conceded that the service triggered a heated public debate.

The company also said it would pay out compensation to users worth double the amount they had paid as a deposit for reserving a doll.

The statement added that Touch would in future pay more attention to its "social duty", and would actively promote a "healthier and more harmonious sex lifestyle".

Aside from its short-lived rental offering, the firm sells an array of sex toys, including sex dolls.''')
1664
>>> fo.close()
>>> fr=open('kang.txt','r')
>>> fr.readline()
'A Chinese company offering sex dolls for rent has withdrawn its services just days after launching.\n'
>>> 

而后引用

fo=open('kang.txt','r')
news = fo.read()

news= news.lower()
for i in ',./-_"":；':
    news=news.replace(i,' ')
words=news.split(' ')
exp = {'','the','\n\nthe','its','that','it','a','for','and','had','said','to','of','in','on','as','they','also','or','an','\n\nin','\n\n','\n\ntouch'}
dict={}
keys=set(words)-exp
for i in keys:
    dict[i]=words.count(i)

tj=list(dict.items())
tj.sort(key=lambda x:x[1],reverse=True)
for i in range(10):
    print(tj[i])
fo.close()

结果以下

>>> 
=============== RESTART: C:/Users/Administrator/Desktop/词频2.py ===============
('sex', 7)
('company', 5)
('dolls', 5)
('would', 4)
('firm', 4)
('more', 4)
('but', 3)
('chinese', 3)
('statement', 3)
('offering', 3)
>>> 

 b、测试jieba

>>> import jieba
>>> word = jieba.cut('太阳出来就去耕做田地，太阳落山就回家去休息。')
>>> w=list(word)
>>> w
['太阳', '出来', '就', '去', '耕做', '田地', '，', '太阳', '落山', '就', '回家', '去', '休息', '。']
>>> a = list(jieba.cut('太阳出来就去耕做田地，太阳落山就回家去休息。',cut_all=True))
>>> a
['太阳', '出来', '就', '去', '耕做', '田地', '', '', '太阳', '落山', '就', '回家', '去', '休息', '', '']
>>> s = list(jieba.cut_for_search('太阳出来就去耕做田地，太阳落山就回家去休息。'))
>>> s
['太阳', '出来', '就', '去', '耕做', '田地', '，', '太阳', '落山', '就', '回家', '去', '休息', '。']

 c、此次我选择的是对于小说雪山飞狐的中文分词

import jieba
xs=open('xs.txt','w')
xs.write('''下载的雪山飞狐小说''')
xs.close()
fr=open('xs.txt','r',encoding='GBK').read()
zs=jieba.cut(fr)

dic={}
for z in zs:
    if len(z)==1:
        continue
    else:
        rez=z
        dic[z] = dic.get(z,0) + 1
keys=set(z)
a=sorted(dic.items())

tj=list(dic.items())
tj.sort(key=lambda x:x[1],reverse=True)
for i in range(20):
    print(tj[i])

结果

>>> 
 RESTART: C:/Users/Administrator/AppData/Local/Programs/Python/Python36/zhongwen222.py 
Building prefix dict from the default dictionary ...
Loading model from cache C:\Users\ADMINI~1\AppData\Local\Temp\jieba.cache
Loading model cost 0.706 seconds.
Prefix dict has been built succesfully.
('曹云奇', 227)
('苗若兰', 210)
('一个', 206)
('胡一刀', 204)
('众人', 203)
('说道', 201)
('金面佛', 174)
('胡斐', 136)
('本身', 132)
('两人', 132)
('心中', 127)
('阮士中', 127)
('宝树', 126)
('爹爹', 124)
('苗人凤', 121)
('孩子', 114)
('一声', 113)
('不知', 110)
('刘元鹤', 106)
('什么', 104)
>>>