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Chinese Emotion Recognition Based on Three-Way Decisions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9436))

Abstract

In recent years, affective computing has become a research hotspot in the area of natural language processing and Chinese emotion recognition is an important constituent. This paper proposes a method of Chinese emotion recognition based on three-way decisions. Given the emotion dictionary constructed firstly, the grammatical information of sentences, topic features of texts and three-way decisions are integrated and applied into Chinese emotion recognition, thus realizing the multi-label emotion recognition of sentences in Chinese texts. The results of experiments show that the method of Chinese emotion recognition, based on three-way decisions, has achieved excellent results in the emotion recognition of Chinese sentences.

The work is supported by the National Natural Science Foundation of China (No. 61273304), the Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 2013007213004) and partially supported by the National Science Foundation of China (No. 61203247).

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References

  1. Hu, M., Liu, B: Mining and summarizing customer reviews. In: Proceedings of the 10th International Conference on Knowledge Discovery and Data Mining, pp. 168–177 (2004)

    Google Scholar 

  2. Liu, B., Zhang, L.: A Survey on Opinion Mining and Sentiment Analysis. Mining Text Data. Springer, New York (2012)

    Google Scholar 

  3. Jo, Y., Oh, A.H.: Aspect and sentiment unification model for online review analysis. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining, pp. 815–824 (2011)

    Google Scholar 

  4. Ren, F.: Affective information processing and recognizing human emotion. J. Electron. Notes Theor. Comput. Sci. 225, 39–50 (2009)

    Article  Google Scholar 

  5. Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)

    Google Scholar 

  6. Taboada, M., Brooke, J., Tofiloski, M.: Lexicon-based methods for sentiment analysis. J. Comput. Linguist. 37(2), 267–307 (2011)

    Article  Google Scholar 

  7. Rao, D., Ravichandran, D.: Semi-supervised polity lexicon induction. In: Proceedings of the EACL, pp. 675–682 (2009)

    Google Scholar 

  8. Dave, K., Lawrence, S., Pennock, D.M.: Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In: Proceedings of WWW-03, 12th International Conference on the World Wide Web, pp. 519–528. ACM, Budapest (2003)

    Google Scholar 

  9. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

    MATH  Google Scholar 

  10. Yao, Y.: An outline of a theory of three-way decisions. In: Yao, J., Yang, Y., Słowiński, R., Greco, S., Li, H., Mitra, S., Polkowski, L. (eds.) RSCTC 2012. LNCS, vol. 7413, pp. 1–17. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  11. Ren, F.: Document for Ren-CECps 1.0 (2009). http://a1-www.is.tokushima-u.ac.jp/member/ren/Ren-CECps1.0/Ren-CECps1.0.html

  12. Quan, C., Ren, F.: A blog emotion corpus for emotional expression analysis in Chinese. J. Comput. Speech Lang. 24(4), 726–749 (2010)

    Article  MathSciNet  Google Scholar 

  13. Tsoumakas, G., Katakis, I.: Multi-label classification: an overview. Int. J. Data Warehouse. Min. 3(3), 1–13 (2007)

    Article  Google Scholar 

  14. Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining multi-label Data, Data Mining and Knowledge Discovery Handbook, 2nd edn. Springer, Heidelberg (2010). Part 6

    Google Scholar 

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Correspondence to Lei Wang .

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Wang, L., Miao, D., Zhao, C. (2015). Chinese Emotion Recognition Based on Three-Way Decisions. In: Ciucci, D., Wang, G., Mitra, S., Wu, WZ. (eds) Rough Sets and Knowledge Technology. RSKT 2015. Lecture Notes in Computer Science(), vol 9436. Springer, Cham. https://doi.org/10.1007/978-3-319-25754-9_27

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  • DOI: https://doi.org/10.1007/978-3-319-25754-9_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25753-2

  • Online ISBN: 978-3-319-25754-9

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