python爬虫微博评论词云

以下是Python爬虫微博评论词云的实现步骤：

1. 导入所需库

import requests
import json
import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt

2. 获取微博评论数据

# 构造请求头
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
# 构造请求参数
params = {
    'id': '4479245842837327',  # 微博ID
    'page': '1'  # 评论页数
}
# 发送请求
response = requests.get('https://m.weibo.cn/comments/hotflow', headers=headers, params=params)
# 解析响应数据
data = json.loads(response.text)
comments = data['data']['data']

3. 对评论进行分词

# 定义分词函数
def cut_words(text):
    words = jieba.cut(text)
    return ' '.join(words)

# 对评论进行分词
comment_text = ''
for comment in comments:
    comment_text += comment['text']
comment_words = cut_words(comment_text)

4. 生成词云

# 生成词云
wordcloud = WordCloud(font_path='simhei.ttf', background_color='white', width=800, height=600).generate(comment_words)
# 显示词云
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()