中文与英文词频统计

1.英文词频统

下载一首英文的歌词或文章

将所有,.？！’:等分隔符全部替换为空格

将所有大写转换为小写

生成单词列表

生成词频统计

排序

排除语法型词汇，代词、冠词、连词

输出词频最大TOP20

将分析对象存为utf-8编码的文件，通过文件读取的方式获得词频分析内容。

 

# news='''A special variant of the Code Completion " \
#      "feature invoked by pressing Ctrl twice " \
#      "allows you to complete the name of any class no matter " \
#      "if it was imported in the current file or not. If the class " \
#      "is not imported yet, the import statement is generated automatically.'''
f=open('news.txt','r')
news=f.read()
f.close()
sep=''',.?'":!'''
exclude={'the','and','a','not'}
for c in sep:
    news=news.replace(c,' ')

wordList=news.lower().split()
wordDict={}
'''for w in wordList:
    wordDict[w]=wordDict.get(w,0)+1
    for w in exclude
     del(wordDict[w])
 '''
wordSet=set(wordList)-exclude
for w in wordSet:
    wordDict[w]=wordList.count(w)

dictList=list(wordDict.items())
dictList.sort(key=lambda x:x[1],reverse=True)
# for w in wordDict:
#     print(w,wordDict[w])
#print(dictList)

for i in range(20):
    print(dictList[i])

　　

 

2.中文词频统计

下载一长篇中文文章。

从文件读取待分析文本。

news = open('gzccnews.txt','r',encoding = 'utf-8')

安装与使用jieba进行中文分词。

pip install jieba

import jieba

list(jieba.lcut(news))

生成词频统计

排序

排除语法型词汇，代词、冠词、连词

输出词频最大TOP20（或把结果存放到文件里）

 

将代码与运行结果截图发布在博客上。

import jieba
 
f = open('hongloumeng.txt','r')
text = f.read()
f.close()
symbol = '''一！“”，。？；’"',.、：\n'''
for s in symbol:
    text = text.replace(s,' ')
wordlist = list(jieba.cut(text))
exclude = {'说','有','得','没','的','他','了','她','是','在','—','你','走','对','他们','着','把','不','也','我','人','而',
           '与','就','可是','那','要','又','想','和','一个',' ','呢','很','一点','都','去',
           '没有','个','上','给','点','小','看','之','‘','道','便','听','只'}
set = set(wordlist) - exclude
dict = {}
for key in set:
    dict[key]=wordlist.count(key)
dictlist = list(dict.items())
dictlist.sort(key=lambda x: x[1], reverse=True)
for i in range(20):
    print(dictlist[i])