Please use this identifier to cite or link to this item:
Title: Product review summarization from a deeper perspective
Authors: Ly, D.K.
Sugiyama, K. 
Lin, Z.
Kan, M.-Y. 
Keywords: clustering
sentiment analysis
Issue Date: 2011
Citation: 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.
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
ISBN: 9781450307444
ISSN: 15525996
DOI: 10.1145/1998076.1998134
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Feb 9, 2019

Page view(s)

checked on Jan 26, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.