Product review summarization from a deeper perspective
Ly, D.K. Sugiyama, K. Lin, Z. Kan, M.-Y.
Ly, D.K.
Lin, Z.
Citations
Altmetric:
Alternative Title
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.
Keywords
clustering, sentiment analysis, summarization
Source Title
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
Publisher
Series/Report No.
Collections
Rights
Date
2011
DOI
10.1145/1998076.1998134
Type
Conference Paper