gativetendencies,soastocarryoutthecorrespondingtextmining.
It feels a little abstract, and my personal interpretation of it is that
when we take a piece of text or many pieces of text, we do a
sentiment analysis of the text, and we say, "This product is great,"
then we think that the text is positive. It's simple. However,
with the continuous progress of science and technology, there are
more and more comments, and we cannot read them completely. At
this time, we can extract a large number of text topics, which can be
used for information mining. At the same time, if we want to know
both positive and negative themes in a large text, then we can do
sentiment analysis. Conduct sentiment analysis to determine user
reviews of products. To deal with and analyze the problems of good
目 录
摘要.....................................................................................................................................................1
一 绪论................................................................................................................................................3
1.1 研究目的和意义..........................................................................................................3
二 国内外研究现状............................................................................................................................4
三 研究内容........................................................................................................................................6
3.1 定义挖掘目标：...........................................................................................................6
3.2 定义挖掘分析步骤：...................................................................................................6
四 技术路线（工作流程）................................................................................................................7
4.1 爬取数据......................................................................................................................7
4.2 数据清洗.......................................................................................................................8
五、构建模型...................................................................................................................................18
5.1 评论数据情感倾向分析.............................................................................................18
5.2 修正情感倾向.............................................................................................................23
5.3 查看情感分析效果.....................................................................................................28
5.4.使用 LDA 主题模型进行主题分析...........................................................................34
六 总结......................................................................................................................................43
七 附录..............................................................................................................................................45
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陌陌的日记2023-07-24这个文件以朴实的语言描述了京东海尔洗衣机评论数据的情感分析结果，对于想要获取真实反馈的人来说是一份不可或缺的参考资料。
陈后主2023-07-24这份文件详细地分析了京东海尔洗衣机的评论数据,让人能够更全面地了解用户的真实感受。
顾露2023-07-24通过阅读这个文件，你可以了解京东海尔洗衣机的优点和局限性，让你可以做出更明智的购买决策。
Msura2023-07-24这个文件通过对京东海尔洗衣机评论数据的情感分析，呈现出了用户对该产品的真实态度。
俞林鑫2023-07-24这个文件对于想要了解京东海尔洗衣机评论数据情感分析的人来说，非常有帮助。
