一个完整的大作业

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我选的是新浪新闻网

2爬取的数据

3全部代码

import requests
from bs4 import BeautifulSoup
from wordcloud import WordCloud
import jieba
import matplotlib.pyplot as plt

url = "http://news.sina.com.cn/"
res = requests.get(url)
res.encoding = "utf-8"
soup = BeautifulSoup(res.text, "html.parser")
output = open("hmy.txt", "a+", encoding="utf-8")
for p in soup.find_all("p"):
    output.write(p.get_text() + "
")
output.close()
txt = open("hmy.txt", "r", encoding="utf-8").read()
words = jieba.lcut(txt)
ls = []
counts = {}
for word in words:
    ls.append(word)
    if len(word) == 1:
        continue
    else:
        counts[word] = counts.get(word,0)+1
items = list(counts.items())
items.sort(key = lambda x:x[1], reverse = True)
for i in range(10):
    word , count = items[i]
    print ("{:<5}{:>2}".format(word,count))
wordlist = jieba.cut(txt, cut_all=True)
wl_split = "/".join(wordlist)
mywc = WordCloud(font_path='msyh.ttc').generate(wl_split)
plt.imshow(mywc)
plt.axis("off")
plt.show()

4结果