python 读取网页并分词

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:
    # 
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：