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A Feature-Based Opinion Mining Model on Product Reviews in Vietnamese

  • Tien-Thanh Vu
  • Huyen-Trang Pham
  • Cong-To Luu
  • Quang-Thuy Ha
Part of the Studies in Computational Intelligence book series (SCI, volume 381)

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.

Keywords

feature-word feature-based opinion mining system opinion summarization opinion-word reviews syntactic rules VietSentiWordnet dictionary 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Tien-Thanh Vu
    • 1
  • Huyen-Trang Pham
    • 1
  • Cong-To Luu
    • 1
  • Quang-Thuy Ha
    • 1
  1. 1.College of TechnologyVietnam National University, Hanoi (VNU)Cau GiayVietnam

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