Presentation 2013-09-12
A proposal of a recommendation method of reviews describing characteristic minority opinions
Hiroaki SHIRAHAMA, Masaomi KIMURA,
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Abstract(in English) Recently, many online shops offer their service with the product reviews. Those shops allow customers to comment or rate products. There have been many studies to analyze reviews analyses to find customers' opinions in such comments. This is because those analyses are expected to give the shops some feedback necessary to promote the goods sales. However, the existing analysis methods based on text mining techniques usually focus on the occurrence number of words in reviews, which result in overlooking the minor but important opinions. Therefore, in this study, we propose a method to recommend reviews that describe characteristic minority opinions. In order to take account of such opinions, we utilized ternary relationships between merchandises, reviews and dependency relation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Text Mining / Opinion Extraction / Graph Structure / HITS
Paper # NLC2013-19
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Committee NLC
Conference Date 2013/9/5(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A proposal of a recommendation method of reviews describing characteristic minority opinions
Sub Title (in English)
Keyword(1) Text Mining
Keyword(2) Opinion Extraction
Keyword(3) Graph Structure
Keyword(4) HITS
1st Author's Name Hiroaki SHIRAHAMA
1st Author's Affiliation Graduate School of Engineering and Science, Shibaura Institute of Technilogy()
2nd Author's Name Masaomi KIMURA
2nd Author's Affiliation Department of Information Science and Engineering, Shibaura Institute of Technilogy
Date 2013-09-12
Paper # NLC2013-19
Volume (vol) vol.113
Number (no) 213
Page pp.pp.-
#Pages 6
Date of Issue