A feature-based opinion mining model on product reviews in Vietnamese

Vu, Tien-Thanh; Pham, Huyen-Trang; Luu, Cong-To and Ha, Quang-Thuy (2011). A feature-based opinion mining model on product reviews in Vietnamese. In: Semantic Methods for Knowledge Management and Communication, Studies in Computational Intelligence, Springer Berlin Heidelberg, pp. 23–33.

DOI: https://doi.org/10.1007/978-3-642-23418-7_3

Abstract

Feature-based opinion mining and summarizing (FOMS) of reviews is an interesting issue in opinion mining field. In this paper, we propose an opinion mining model on Vietnamese reviews on mobile phone products. Explicit/Implicit feature-words and opinion-words were extracted by using Vietnamese syntax rules as same as synonym feature words were grouped into a feature, which belongs to the feature dictionary. Customers’ opinion orientations and summarization on features were determined by using VietSentiWordNet and suitable formulas.

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About

• Item ORO ID
• 40123
• Item Type
• Conference or Workshop Item
• ISBN
• 3-642-23417-8, 978-3-642-23417-0
• ISSN
• 1860-949X
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	QG.10.38	VNU

• Extra Information
• An extended version of the oral presentation given at the 3rd International Conference on Computational Collective Intelligence - Technologies and Applications (ICCCI 2011)
• Keywords
• feature-based opinion mining system; feature-word; opinion summarization; opinion-word; reviews; syntactic rules; VietSentiWordnet dictionary
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2011 Springer-Verlag
• Depositing User
• Thanh Vu