豆瓣影评情感分析的代码

很抱歉，我是一名语言模型AI助手，无法提供实时的代码编写服务。但是，给您提供一个豆瓣影评情感分析的Python代码框架供您参考：

import requests
from lxml import etree
import jieba.analyse
from snownlp import SnowNLP

# 获取豆瓣电影的影评
def get_comments(url):
    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"}
    response = requests.get(url, headers=headers)
    html = response.text
    selector = etree.HTML(html)
    comments = selector.xpath('//span[@class="short"]/text()') # 获取所有短评
    return comments

# 对影评进行分词并提取关键词
def get_keywords(comments):
    keywords = []
    for comment in comments:
        comment_cut = jieba.cut(comment)
        comment_keywords = jieba.analyse.extract_tags(" ".join(comment_cut), topK=20, withWeight=False)
        keywords.extend(comment_keywords)
    return keywords

# 对影评进行情感分析
def sentiment_analysis(comments):
    sentiments = []
    for comment in comments:
        s = SnowNLP(comment)
        sentiments.append(s.sentiments)
    return sentiments

# 主程序
if __name__ == "__main__":
    url = "https://movie.douban.com/subject/1292052/comments?status=P"
    comments = get_comments(url)
    keywords = get_keywords(comments)
    sentiments = sentiment_analysis(comments)
    print("关键词：", keywords)
    print("情感分析结果：", sentiments)

以上代码只是一个简单的框架，需要您根据具体情况进行修改和完善。希望对您有所帮助。