Art

J-GLOBAL ID：201502283887026450   Reference number：15A0568489

Credibility Judgment Support System for Review

レビューを対象とした信頼性判断支援システムの提案

Author (3)： IGI MAKOTO (中国電力) ,  KAMEI SAYAKA (広島大 大学院工学研究院) ,  FUJITA SATOSHI (広島大 大学院工学研究院)
Material： 情報処理学会論文誌ジャーナル(Web)
Volume： 55  Issue： 11  Page： 2461-2475 (WEB ONLY)  Publication year： Nov. 15, 2014 
JST Material Number： U0452A  ISSN： 1882-7764  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *electronic commerce ,  *review ,  user ,  reliability (property) ,  decision support system ,  Marketing ,  purchasing ,  Decision Making ,  electronic mail ,  information security ,  similarity ,  visualization ,  barfmail
Semi thesaurus term： *electronic commerce ,  spam mail ,  weblog spam ,  *user review ,  cooperativeness ,  buyer's guides

JST classification (2)： Marketing research,advertisement  (KA06030H) ,  Other information processing  (JE15050M)

Reference (22)：

• Huang, S., Shen, D., Feng, W., Zhang, Y. and Baudin, C.: Discovering clues for review quality from author's behaviors on e-commerce sites, Proc. 11th Internatonal Conference on Electronic Commerce, pp.133-141 (2009).
• Chevalier, J. and Mayzlin, D.: The Effect of Word of Mouth on Sales: Online Book Reviews, Journal of Marketing Research, Vol.43, No.3, pp.345-354 (2006).
• Neylon, S.B.T., Hannan, K., Reis, G.A., Mcdonald, R. and Reynar, J.: Building a Sentiment Summarizer for Local Service Reviews, Proc. WWW Workshop on NLP in the Information Explosion Era (2008).
• Pang, B., Lee, L. and Vaithyanathan, S.: Thumbs up? Sentiment Classification using Machine Learning Techniques, Proc. Conference on Empirical Methods in Natural Language Processing, pp.79-86 (2002).
• Liu, J., Cao, Y., Lin, C.Y., Huang, Y. and Zhou, M.: Low-Quality Product Review Detection in Opinion Summarization, Proc. 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.334-342 (2007).

Terms in the title (3)： レビュー ,  支援システム ,  提案