本文实例讲述了python实现的读取网页并分词功能。分享给大家供大家参考，具体如下：这里
本文实例讲述了python实现的读取网页并分词功能。分享给大家供大家参考，具体如下：
这里使用分词使用最流行的分词包jieba，参考：https://github.com/fxsjy/jieba
或点击此处本站下载jieba库。
代码：
import requests
from bs4 import BeautifulSoup
import jieba
# 获取html
url = "http://finance.ifeng.com/a/20180328/16049779_0.shtml"
res = requests.get(url)
res.encoding = 'utf-8'
content = res.text
# 添加至bs4
soup = BeautifulSoup(content, 'html.parser')
div = soup.find(id = 'main_content')
# 写入文件
filename = 'news.txt'
with open(filename,'w',encoding='utf-8') as file_object:
# <p>标签的处理
for line in div.findChildren():
file_object.write(line.get_text()+'\n')
# 使用分词工具
seg_list = jieba.cut("我来到北京清华大学", cut_all=True)
print("Full Mode: " + "/ ".join(seg_list)) # 全模式
seg_list = jieba.cut("我来到北京清华大学", cut_all=False)
print("Default Mode: " + "/ ".join(seg_list)) # 精确模式
seg_list = jieba.cut("他来到了网易杭研大厦") # 默认是精确模式
print(", ".join(seg_list))
with open(filename,'r',encoding='utf-8') as file_object:
with open('cut_news.txt','w',encoding='utf-8') as file_cut_object:
for line in file_object.readlines():
seg_list = jieba.cut(line,cut_all=False)
file_cut_object.write('/'.join(seg_list))
爬取结果：
分词结果：
