Exploiting expectation maximization algorithm for sentiment analysis of product reviews

Nilesh M. Shelke, S. Deshpande, V. Thakre
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引用次数: 8

Abstract

Millions of comments are available on forums, Facebook, Tweeter, YouTube etc. Proper analysis of these huge comments can lead to solve many social, economic, political, business related questions which otherwise are difficult to understand and analyse. Proposed system explores the statistical approach for sentiment analysis of product reviews using expectation maximization algorithm. Systematic mathematical model has been developed for the proposed system.
基于期望最大化算法的产品评论情感分析
论坛、Facebook、twitter、YouTube等网站上有数百万条评论。对这些巨大的评论进行适当的分析可以解决许多社会、经济、政治、商业相关的问题,否则这些问题很难理解和分析。该系统探索了使用期望最大化算法进行产品评论情感分析的统计方法。建立了系统的数学模型。
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