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JCDL
2011
ACM

Product review summarization from a deeper perspective

8 years 5 months ago
Product review summarization from a deeper perspective
With product reviews growing in depth and becoming more numerous, it is growing challenge to acquire a comprehensive understanding of their contents, for both customers and product manufacturers. We built a system that automatically summarizes a large collection of product reviews to generate a concise summary. Importantly, our system not only extracts the review sentiments but also the underlying justiļ¬cation for their opinion. We solve this problem through a novel application of clustering and validate our approach through an empirical study, obtaining good performance as judged by F-measure (the harmonic mean of purity and inverse purity). Categories and Subject Descriptors ontent Analysis and Indexing]: Abstracting methods; I.2.7 [Natural Language Processing]: Text analysis General Terms Algorithms, Experimentation, Languages, Performance Keywords Sentiment Analysis, Summarization, Clustering
Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Y
Added 15 Sep 2011
Updated 15 Sep 2011
Type Journal
Year 2011
Where JCDL
Authors Duy Khang Ly, Kazunari Sugiyama, Ziheng Lin, Min-Yen Kan
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