Product review summarization from a deeper perspective

12 years 7 months ago

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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 justiﬁcation 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

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