已经将项目的关键文件上传,包含微博爬虫、LDA主题分析和情感分析三个部分。
1.微博爬虫
实现微博评论爬取和微博用户信息爬取,一天大概十万条。
2.LDA主题分析
实现文档主题抽取,包括数据清洗及分词、主题数的确定(主题一致性和困惑度)和最优主题模型的选择(暴力搜索)。
3.情感分析
实现评论文本的情感值计算,准确率超过97%,处于0到1之间。
已经将项目的关键文件上传,包含微博爬虫、LDA主题分析和情感分析三个部分。
1.微博爬虫
实现微博评论爬取和微博用户信息爬取,一天大概十万条。
2.LDA主题分析
实现文档主题抽取,包括数据清洗及分词、主题数的确定(主题一致性和困惑度)和最优主题模型的选择(暴力搜索)。
3.情感分析
实现评论文本的情感值计算,准确率超过97%,处于0到1之间。
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