综合练习：词频统计

Posted 2020-10-28 119林江绅

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

f=open(\'news.txt\',\'r\')
news=f.read()
f.close()
sep=\'\'\',.\'!"?:\'\'\'
for c in sep:
   news=news.replace(c,\' \')
   wordList=news.lower().split()

for w in wordList:
      print(w)

生成词频统计

f=open(\'news.txt\',\'r\')
news=f.read()
f.close()
sep=\'\'\',.\'!"?:\'\'\'
for c in sep:
   news=news.replace(c,\' \')
   wordList=news.lower().split()
wordDict={}
wordSet=set(wordList)
for w in wordSet:
    wordDict[w]=wordList.count(w)
for w in wordDict:
      print(w,wordDict[w])

排除语法型词汇，代词、冠词、连词

f=open(\'news.txt\',\'r\')
news=f.read()
f.close()
sep=\'\'\',.\'!"?:\'\'\'
exclude={\'be\',\'i\',\'so\',\'over\',\'hearing\'}
for c in sep:
   news=news.replace(c,\' \')
   wordList=news.lower().split()
wordDict={}
wordSet=set(wordList)-exclude
for w in wordSet:
    wordDict[w]=wordList.count(w)
for w in wordDict:
      print(w,wordDict[w])

排序、输出词频最大TOP20

f=open(\'news.txt\',\'r\')
news=f.read()
f.close()
sep=\'\'\',.\'!"?:\'\'\'
exclude={\'be\',\'i\',\'so\',\'over\',\'hearing\'}
for c in sep:
   news=news.replace(c,\' \')
   wordList=news.lower().split()
wordDict={}
wordSet=set(wordList)-exclude
for w in wordSet:
    wordDict[w]=wordList.count(w)

dic=sorted(wordDict.items(),key=lambda d:d[1],reverse=True)
print(dic)
for i in range(20):
    print(dic[i])

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。

f=open(\'news.txt\',\'r\')
text=f.read()
f.close()
print(text)