Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 40, Issue 1, Pages 27-33Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2012.05.070
Keywords
Product review; Opinion mining; Summarization; Matrix factorization
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Funding
- NSF Grants [HRD-0833093, DMS-0915110, CNS-1126619]
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [1126619] Funding Source: National Science Foundation
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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. (c) 2012 Elsevier Ltd. All rights reserved.
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