SumView: A Web-based engine for summarizing product reviews and customer opinions |
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Authors: | Dingding Wang Shenghuo Zhu Tao Li |
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Affiliation: | 1. School of Computing and Information Sciences, Florida International University, Miami, FL 33199, United States;2. NEC Laboratories America Inc., 10080 N. Wolfe Rd., SW3-350, Cupertino, CA 95014, United States |
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Abstract: | In this paper, we develop SumView, a Web-based review summarization system, to automatically extract the most representative expressions and customer opinions in the reviews on various product features. Different from existing review analysis which makes more efforts on sentiment classification and opinion mining, our system mainly focuses on summarization, i.e., delivering the majority of information contained in the review documents by selecting the most representative review sentences for each extracted product feature. Comprehensive case studies and experiments demonstrate the effectiveness of our system, and the user study shows users’ satisfaction. |
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