A Method of Polarity Computation of Chinese Sentiment Words Based on Gaussian Distribution

1. Kim, S., Hovy, E.: Determining the Sentiment of Opinions. In: Proceedings of COLING, pp. 1367–1373 (2004)

   Google Scholar 

2. Mao, Y., Lebanon, G.: Isotonic Conditional Random Fields and Local Sentiment Flow. In: Proceedings of NIPS, pp. 961–968 (2006)

   Google Scholar 

3. Pang, B., Lee, L.: A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. In: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, pp. 271–278 (2004)

   Google Scholar 

4. Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)

   Article  MATH  MathSciNet  Google Scholar 

5. Zhang, G.B., Song, Q.H., Fei, S.M., et al.: Research on Speech Emotion Recognition. Computer Technology and Development 19(1), 92–96 (2009)

   Google Scholar 

6. Chen, X.: Identification of Human Motion Emotions based on Gaussian Feature. Huazhong University of Science & Technology (2011)

   Google Scholar 

7. Wang, J., Dou, R., Yan, Z., et al.: Exploration of Analyzing Emotion Strength in Speech Signal Pattern Recognition. In: Chinese Conference on CCPR 2009, pp. 1–4. IEEE (2009)

   Google Scholar 

8. Hatzivassiloglou, V., McKeown, K.R.: Predicting the semantic orientation of adjectives. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, pp. 174–181. Association for Computational Linguistics (1997)

   Google Scholar 

9. Kamps, J., Marx, M.J., Mokken, R.J., et al.: Using wordnet to measure semantic orientations of adjectives (2004)

   Google Scholar 

10. Fellbaum, C.: WordNet: An Electronic Lexical Database (1998)

    Google Scholar 

11. Ku, L.W., Liang, Y.T., Chen, H.H.: Opinion Extraction, Summarization and Tracking in News and Blog Corpora. In: AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, pp. 100–107 (2006)

    Google Scholar 

12. Zhu, Y.L., Min, J., Zhou, Y.Q., et al.: Research on semantic orientation calculation of words based on HowNet. Journal of Chinese Information Processing 20(1), 14–20 (2006)

    Google Scholar 

13. Turney, P.D., Littman, M.L.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS) 21(4), 315–346 (2003)

    Article  Google Scholar 

14. Kim, S.M., Hovy, E.: Determining the sentiment of opinions. In: Proceedings of the 20th International Conference on Computational Linguistics, p. 1367. Association for Computational Linguistics (2004)

    Google Scholar 

15. Yao, T.F., Lou, D.C.: Research on the semantic orientation judgment of Chinese sentiment words. Research on computing technology and language problems. In: The Seventh International Conference on Chinese Information Processing (2007)

    Google Scholar 

16. Zhang, Q., Qiu, X.P., Huang, X.J., et al.: Learning semantic lexicons using graph mutual reinforcement based bootstrapping. Acta Automatica Sinica 34(10), 1257–1261 (2008)

    Google Scholar 

17. Wang, M., Shi, H.: Research on sentiment analysis technology and polarity computation of sentiment words. In: 2010 IEEE International Conference on Progress in Informatics and Computing (PIC), vol. 1, pp. 331–334. IEEE (2010)

    Google Scholar 

18. He, S.B.: The study of modern Chinese frequency adverbs based on statistics. Nanjing Normal University (2006)

    Google Scholar 

19. Shi, H.X.: Research on Fine-grained Sentiment Analysis. Soochow University (2013)

    Google Scholar 

Download references