Computer Science – Computation and Language
Scientific paper
2011-10-07
Computer Science
Computation and Language
10 pages, 3 figures, 3 tables, short paper version published in JCDL 2011
Scientific paper
Product review nowadays has become an important source of information, not only for customers to find opinions about products easily and share their reviews with peers, but also for product manufacturers to get feedback on their products. As the number of product reviews grows, it becomes difficult for users to search and utilize these resources in an efficient way. In this work, we build a product review summarization system that can automatically process a large collection of reviews and aggregate them to generate a concise summary. More importantly, the drawback of existing product summarization systems is that they cannot provide the underlying reasons to justify users' opinions. In our method, we solve this problem by applying clustering, prior to selecting representative candidates for summarization.
Kan Min-Yen
Lin Ziheng
Ly Duy Khang
Sugiyama Kazunari
No associations
LandOfFree
Product Review Summarization based on Facet Identification and Sentence Clustering does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Product Review Summarization based on Facet Identification and Sentence Clustering, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Product Review Summarization based on Facet Identification and Sentence Clustering will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-132449