一个完整的大作业

大作业：

1.选一个自己感兴趣的主题。

2.网络上爬取相关的数据。

3.进行文本分析，生成词云。

4.对文本分析结果解释说明。

5.写一篇完整的博客，附上源代码、数据爬取及分析结果，形成一个可展示的成果。

 1.抓取搜狐新闻，官网：http://news.sohu.com

2.爬取的数据

import requests
from bs4 import BeautifulSoup

url = 'http://news.sohu.com/'
res = requests.get(url)
res.encoding = 'UTF-8'

soup = BeautifulSoup(res.text, 'html.parser')

for news in soup.select('.list16'):
    li = news.select('li')  
    if len(li) > 0:      
        title = li[0].text       
        href = li[0].select('a')[0]['href']
        print(title, href)

获取的相关信息

3.生成词云

from os import path 
from scipy.misc import imread   
import jieba 
import sys 
import matplotlib.pyplot as plt 
from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator   
text = open('D:\sohu.txt').read() 
wordlist = jieba.cut(text) 
wl_space_split = " ".join(wordlist) 
d = path.dirname(__file__) 
nana_coloring = imread(path.join(d, "D:\0.jpg")) 
my_wordcloud = WordCloud( background_color = 'white',   
                            mask = nana_coloring,        
                            max_words = 3000,           
                            stopwords = STOPWORDS, 
                            max_font_size = 70,       
                            random_state = 50,            ) 
    
text_dict = {   'you': 2993,   'and': 6625,   'in': 2767,   'was': 2525,   'the': 7845,}
my_wordcloud = WordCloud().generate_from_frequencies(text_dict)
 
image_colors = ImageColorGenerator(nana_coloring) 
my_wordcloud.recolor(color_func=image_colors) 
plt.imshow(my_wordcloud)   
plt.axis("off")            
plt.show()    
my_wordcloud.to_file(path.join(d, "cloudimg.png")) 

云图

总结：搜狐上抓取到的的主要信息是万圣节、选房的之类的。