Please use this identifier to cite or link to this item: https://doi.org/10.1145/1998076.1998134
Title: Product review summarization from a deeper perspective
Authors: Ly, D.K.
Sugiyama, K. 
Lin, Z.
Kan, M.-Y. 
Keywords: clustering
sentiment analysis
summarization
Issue Date: 2011
Source: Ly, D.K.,Sugiyama, K.,Lin, Z.,Kan, M.-Y. (2011). Product review summarization from a deeper perspective. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries : 311-314. ScholarBank@NUS Repository. https://doi.org/10.1145/1998076.1998134
Abstract: 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). © 2011 ACM.
Source Title: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
URI: http://scholarbank.nus.edu.sg/handle/10635/43244
ISBN: 9781450307444
ISSN: 15525996
DOI: 10.1145/1998076.1998134
Appears in Collections:Staff Publications

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