Mining opinion features in customer reviews

作者: Minqing Hu , Bing Liu

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摘要: It is a common practice that merchants selling products on the Web ask their customers to review and associated services. As e-commerce becoming more popular, number of customer reviews product receives grows rapidly. For popular product, can be in hundreds. This makes it difficult for potential read them order make decision whether buy product. In this project, we aim summarize all summarization task different from traditional text because are only interested specific features have opinions also positive or negative. We do not by selecting rewriting subset original sentences capture main points as classic summarization. paper, focus mining opinion/product reviewers commented on. A techniques presented mine such features. Our experimental results show these highly effective.

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