python学习文本词频统计,hamlet.txt,三国演义.txt

python学习文本词频统计,hamlet.txt,三国演义.txt,英文文章使用split(),中文文章使用jieba.lcut()。

hamlet.txt,三国演义.txt文本的下载地址:https://download.youkuaiyun.com/download/tommycsdn/16607738

excludes={"the","and","of","you","a","i","my","in","to","it","is","not"}
def getText():
    txt=open("hamlet.txt","r").read()
    txt=txt.lower()
    for ch in '!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~':
        txt=txt.replace(ch," ")
    return txt
hamletTxt=getText()
words=hamletTxt.split()
counts={}
for word in words:
    counts[word]=counts.get(word,0)+1
for word in excludes:
    del(counts[word])
items=list(counts.items())
items.sort(key=lambda x:x[1],reverse=True)
for i in range(10):
    word,count=items[i]
    print("{0:<10}{1:5}".format(word,count))
import jieba
excludes={"将军","却说","荆州","二人","不可","不能","如此"}
txt=open("三国演义.txt","r",encoding='utf-8').read()
words=jieba.lcut(txt)
counts={}
for word in words:
    if len(word)==1:
        continue
    elif word=="诸葛亮" or word=="孔明曰":
        rword="孔明"
    elif word=="关公" or word=="云长":
        rword="关羽"
    elif word=="玄德" or word=="玄德曰":
        rword="刘备"
    elif word=="孟德" or word=="丞相":
        rword="曹操"
    else:
        rword=word
    counts[rword]=counts.get(rword,0)+1
for word in excludes:
    del(counts[word])
items=list(counts.items())
items.sort(key=lambda x:x[1],reverse=True)
for i in range(20):
    word,count=items[i]
    print("{0:<10}{1:<5}".format(word,count))

 

好的,我可以帮你用Python实现文本词频统计Hamlet英文词频统计以及《三国演义》人物出场统计。你可以先将文本文件保存到本地,并确保已经安装好Python环境。 下面是一些示例代码,你可以参考一下: ### 文本词频统计 ```python import collections # 读取文本文件 with open('your_file_path.txt', 'r') as f: text = f.read() # 清洗文本 text = text.lower() text = text.replace('\n', ' ') text = ''.join(e for e in text if e.isalnum() or e.isspace()) # 统计词频 word_counts = collections.Counter(text.split()) # 输出前10个高频词 print(word_counts.most_common(10)) ``` ### Hamlet英文词频统计 ```python import collections # 读取Hamlet文本文件 with open('hamlet.txt', 'r') as f: text = f.read() # 清洗文本 text = text.lower() text = text.replace('\n', ' ') text = ''.join(e for e in text if e.isalnum() or e.isspace()) # 统计词频 word_counts = collections.Counter(text.split()) # 输出前10个高频词 print(word_counts.most_common(10)) ``` ### 《三国演义》人物出场统计 ```python import re import collections # 读取《三国演义文本文件 with open('three_kingdoms.txt', 'r', encoding='utf-8') as f: text = f.read() # 找到所有人物名字 names = re.findall('[\u4e00-\u9fa5]{2,4}(?:·[\u4e00-\u9fa5]{2,4})*', text) # 统计人物出现次数 name_counts = collections.Counter(names) # 输出前10个高频人物 print(name_counts.most_common(10)) ``` 这些示例代码可以帮助你快速进行文本词频统计Hamlet英文词频统计以及《三国演义》人物出场统计。你可以根据自己的需求进行调整和修改。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值