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An Integrated Method for Micro-blog Subjective Sentence Identification Based on Three-Way Decisions and Naive Bayes

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Rough Sets and Knowledge Technology (RSKT 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8818))

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Abstract

Microblog’s subjective sentence recognition is the basis of it’s public opinion analysis further research .Therefore, its recognition accuracy is crucial for future research work. Owing to the imprecision or incomplete of information, the precision of traditional SVM, NB and other machine learning algorithms that for microblog’s subjective sentence recognition is not ideal. Presents a method based on the integrated of three-way decision and Bayesian algorithms to distinguish microblog’s subjective sentence. Compared with traditional Bayesian algorithms, Experimental results show that the proposed integrated approach can significantly improve the accuracy of subjective sentence’s recognition.

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References

  1. China Internet Network Information Center. The 33th China Internet Development StatisticsReport [EB/OL], http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201301/P020140221376266085836.pdf

  2. Wu, Y., Jingjing, S., Jiqiang, T.: A Study on the Classification Approach for Chinese MicroBlog Subjective and Objective Sentences. Journal of Chongqing University of Technology (Natural Science) 2013(01), 51–56 (2013)

    Google Scholar 

  3. Patrick, P.A.P.: Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In: Proceedings of International Conference on Language Resource and Evaluation. Lisbon: [s. n. ], pp. 1320–1326 (2010)

    Google Scholar 

  4. 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 

  5. Yao, Y.Y.: Three-way decisions with probabilistic rough sets. Information Sciences 180, 341–353 (2010)

    Article  MathSciNet  Google Scholar 

  6. Yao, Y.Y.: The superiority of three-way decisions in probabilistic rough set models. Information Sciences 181, 1080–1096 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  7. Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11(5), 341–356 (1982)

    Article  MathSciNet  MATH  Google Scholar 

  8. Pawlak, Z.: Rough set:theoretical aspects of reasonsing about data. Kluwer Academic Publishers, Dordrecht (1991)

    Book  Google Scholar 

  9. Yao, Y.Y., Wong, S.K.M., Lingras, P.: A decision –theoretic rough set model. In: The 5th International Symposium on Methodologies for Intelligent Systems (1990)

    Google Scholar 

  10. Yao, Y.Y., Wong, S.K.M.: A decision theoretic framework for approximating concepts. International Journal of Man-Machine Studies 37, 793–809 (1992)

    Article  Google Scholar 

  11. Yao, Y.Y.: Probabilistic approaches to rough sets. Expert System 20, 287–297 (2003)

    Article  Google Scholar 

  12. Yao, Y.Y.: Probabilistic rough set approximations. International Journal of Approximate Reasoning 49, 255–271 (2008)

    Article  MATH  Google Scholar 

  13. Wong, S.K.M., Ziarko, W.: A Probabilistic Model of Approximate Classification and Decision Rules with Uncertainty in Inductive Learning. Technical Report CS-85-23. Department of Computer Science. University of Regina (1985)

    Google Scholar 

  14. HowNet, http://www.keenage.com/html/c_index.html

  15. Yanhui, Z., Yeqiang, X., Wenhua, W., et al.: Research on Opinion Extraction of Chinese Review. In: The Third Chinese Opinion Analysis Evaluation Proceedings, pp. 126–135. Conference Publishing, Shandong (2011)

    Google Scholar 

  16. ICTCLAS 2014 (2014), http://ictclas.nlpir.org/

  17. Xiuyi, J., Lin, S., Xianzhong, Z., et al.: Threey-way decisions theory and its applications, pp. 61–79. Nanjing University Press, Nanjing (2012)

    Google Scholar 

  18. China Computer Federation. The Chinese Micro-Blog Emotional Analysis and Evaluation: Sample Data Sets [EB/OL] (July 01 2012), http://tcci.ccf.org.cn/conference/2012/pages/page04_eva.html

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Author information

Authors and Affiliations

  1. School of Computer and Communication, Hunan University of Technology, Zhuzhou, 412008, Hunan, China

    Yanhui Zhu, Hailong Tian, Jin Ma, Jing Liu & Tao Liang

Authors
  1. Yanhui Zhu
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  2. Hailong Tian
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  3. Jin Ma
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  4. Jing Liu
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  5. Tao Liang
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Corresponding author

Correspondence to Yanhui Zhu .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    Duoqian Miao

  2. Department of Electrical and Computer En, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  3. University of Warsaw, Warsaw, Poland

    Dominik Ślȩzak

  4. University of Applied Sciences, München, Germany

    Georg Peters

  5. Tianjin University, Tianjin, China

    Qinghua Hu

  6. Tongji University, Shanghai, China

    Ruizhi Wang

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© 2014 Springer International Publishing Switzerland

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Zhu, Y., Tian, H., Ma, J., Liu, J., Liang, T. (2014). An Integrated Method for Micro-blog Subjective Sentence Identification Based on Three-Way Decisions and Naive Bayes. In: Miao, D., Pedrycz, W., Ślȩzak, D., Peters, G., Hu, Q., Wang, R. (eds) Rough Sets and Knowledge Technology. RSKT 2014. Lecture Notes in Computer Science(), vol 8818. Springer, Cham. https://doi.org/10.1007/978-3-319-11740-9_77

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  • DOI: https://doi.org/10.1007/978-3-319-11740-9_77

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11739-3

  • Online ISBN: 978-3-319-11740-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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