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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)

Abstract

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.

Keywords

Opinion Mining Sentiment Analysis Restaurant Review 

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References

  1. 1.
    Brody, S., Elhadad, N.: An unsupervised aspect-sentiment model for online reviews. In: Proceeding of HLT 2010, pp. 804–812 (2010)Google Scholar
  2. 2.
    Bross, J., Ehrig, H.: Automatic construction of domain and aspect specific sentiment lexicons for customer review mining. In: Proceedings of CIKM 2013, pp. 1077–1086 (2013)Google Scholar
  3. 3.
    Freitas, L.A., Vieira, R.: Ontology based feature level opinion mining for portuguese reviews. In: Proceedings of WWW 2013 Companion, pp. 367–370 (2013)Google Scholar
  4. 4.
    Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of SIGKDD 2004, pp. 168–177 (2004)Google Scholar
  5. 5.
    Ittoo, A., Bouma, G.: Minimally-supervised learning of domain-specific causal relations using an open-domain corpus as knowledge base. Data & Knowledge Engineering 85, 57–79 (2013)CrossRefGoogle Scholar
  6. 6.
    Jiao, F., Dong, G., Li, Q., Zhu, J.: Opinminer: Extracting feature-opinion pairs with dependency grammar from chinese product reviews. In: Proceedings of WISA 2012, pp. 217–222 (2012)Google Scholar
  7. 7.
    Li, F., Huang, M., Zhu, X.: Sentiment analysis with global topics and local dependency. In: Proceedings of AAAI 2010, pp. 1371–1376 (2010)Google Scholar
  8. 8.
    O’Leary, D.E.: Blog mining-review and extensions:“from each according to his opinion”. Decision Support Systems 51(4), 821–830 (2011)CrossRefGoogle Scholar
  9. 9.
    Peñalver-Martínez, I., Valencia-García, R., García-Sánchez, F.: Ontology-guided approach to feature-based opinion mining. In: Muñoz, R., Montoyo, A., Métais, E. (eds.) NLDB 2011. LNCS, vol. 6716, pp. 193–200. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Popescu, A.M., Etzioni, O.: Extracting product features and opinions from reviews. In: Proceedings of HLT 2005, pp. 339–346 (2005)Google Scholar
  11. 11.
    Somprasertsri, G., Lalitrojwong, P.: Mining feature-opinion in online customer reviews for opinion summarization. Journal of Universal Computer Science 16(6), 938–955 (2010)Google Scholar
  12. 12.
    Su, Q., Xu, X., Guo, H., Guo, Z., Wu, X., Zhang, X., Swen, B., Su, Z.: Hidden sentiment association in chinese web opinion mining. In: Proceedings of WWW 2008, pp. 959–968 (2008)Google Scholar
  13. 13.
    Xu, X., Cheng, X., Tan, S., Liu, Y., Shen, H.: Aspect-level opinion mining of online customer reviews. Communications, China 10(3), 25–41 (2013)CrossRefGoogle Scholar
  14. 14.
    Yin, P., Wang, H., Guo, K.: Feature pinion pair identification of product reviews in chinese: a domain ontology modeling method. New Review of Hypermedia and Multimedia 19(1), 3–24 (2013)CrossRefGoogle Scholar
  15. 15.
    Zhai, Z., Liu, B., Zhang, L., Xu, H., Jia, P.: Identifying evaluative sentences in online discussions. In: Proceedings of AAAI 2011, pp. 933–938 (2011)Google Scholar
  16. 16.
    Zhuang, L., Jing, F., Zhu, X.Y.: Movie review mining and summarization. In: Proceedings of CIKM 2006, pp. 43–50 (2006)Google Scholar

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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