Incorporating Language Patterns and Domain Knowledge into Feature-Opinion Extraction

  • Erqiang Zhou
  • Xi Luo
  • Zhiguang Qin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8655)


We present a hybrid method for aspect-based sentiment analysis of Chinese restaurant reviews. Two main components are employed so as to extract feature-opinion pairs in the proposed method: domain independent language patterns found in Chinese and a lexical base built for restaurant reviews. The language patterns focus on the general knowledge which is implicit contained in Chinese, thus can be used directly by other domains without any modification. The lexical base, on the other hand, targets for particular characteristics of a given domain and acts as a plug-in part in our prototype system, thus does not affect the portability when applying the proposed approach in practice. Empirical evaluation shows that our method performs well and it can gain a progressive result when each component takes into effective.


Opinion Mining Sentiment Analysis Restaurant Review 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Erqiang Zhou
    • 1
    • 2
  • Xi Luo
    • 1
  • Zhiguang Qin
    • 1
  1. 1.School of Computer Science and EngineeringUniversity of Electronic Science and Technology of ChinaSichuanP.R. China
  2. 2.Guangdong Key Laboratory of Popular High Performance Computers, Shenzhen Key Laboratory of Service Computing and ApplicationsGuangdongP.R. China

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