Sentiment analysis using Neuro-Fuzzy and Hidden Markov models of text

Conference Proceedings - IEEE SOUTHEASTCON

Volumn , Issue , 2013, Pages

  Rustamov, Samir ^a   Mustafayev, Elshan ^b   Clements, Mark A ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b INSTITUTE OF PHYSICS   (Azerbaijan)

Author keywords

Adaptive Neuro Fuzzy System; Fuzzy Control System; Hidden Markov Model; review polarity; sentimental analysis

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; FUZZY CONTROL; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HIDDEN MARKOV MODELS; SENTIMENT ANALYSIS;

ADAPTIVE NEURO FUZZY SYSTEM; DIALOGUE ANALYSIS; FUZZY CONTROL SYSTEM; FUZZY MARKOV MODELS; HIDDEN-MARKOV MODELS; NEURO-FUZZY; NEURO-FUZZY MODELING; REVIEW POLARITY; SENTIMENT ANALYSIS; SENTIMENTAL ANALYSE;

HYBRID SYSTEMS;

EID: 84883229446     PISSN: 10910050     EISSN: 1558058X     Source Type: Conference Proceeding    
DOI: 10.1109/SECON.2013.6567382     Document Type: Conference Paper

References (26)

1. K. R. Aida-zade, S. S. Rustamov, E. E. Mustafayev, and N. T. Aliyeva, "Human-Computer DialogueUnderstanding Hybrid System, " IEEE Xplore, International Symposium on Innovations in Intelligent Systems and Applications. Trabzon, Turkey, Jule 2012, pp. 1-5.
2. G. Paltoglou and M. Thelwall, "A study of Information Retrieval weighting schemes for sentiment analysis, ACL 2010.
3. B. Pang and L. Lee, "Opinion Mining and Sentiment Analysis, Now Publishers Inc., 2008.
4. A. Abbasi, H. Chen, and A. Salem, "Sentiment analysis in multiple languages: Feature selection for opinion classification in web forums, ACM Trans. Inf. Syst., 26(3):1-34. 2008.
5. B. Pang, L. Lee and S. Vaithyanathan, "Thumbs up" Sentiment Classification using Machine Learning Techniques, In Proceedings of CoRR 2002.
6. B. Pang and L. Lee, "A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts, Proceedings of the ACL, 2004.
7. C. Whitelaw, N. Garg and Sh. Argamon, "Using Appraisal Groups for Sentiment Analysis, In Proceedings of the 14th ACM Conference on Information and Knowledge Management, pp. 625-631. 2005.
8. M. Efron, "Cultural orientations: Classifying subjective documents by cocitation analysis, In Proceedings of the AAAI Fall Symposium Series on Style and Meaning in Language, Art, Music, and Design, 2004, pp. 41-48.
9. P. D. Turney, "Thumbs up or Thumbs down: Semantic Orientation applied to Unsupervised Classification of Reviews, In Proceedings of the 40th Annual Meeting of the ACL, pp. 417-424. 2002.
10. Ch. Lin and Y. He. "Joint sentiment/ topic model for sentiment analysis, In CIKM "09: Proceeding of the 18th ACM conference on Information and knowledge management, New York, USA, ACM 2009, pp. 375-384
11. D. M. Blei, Ng, Y. Andrew, and M. I. Jordan, "Latent Dirichlet allocation, Journal of Machine Learning Research 3, pp. 993-1022. 2003.
12. Y. He, "Incorporating Sentiment Prior Knowledge for Weakly-Supervised Sentiment Analysis, ACM TALIP, 2012.
13. T. Wilson, J. Wiebe, and P. Hoffman, "Recognizing Contextual Polarity in Phraselevel Sentiment Analysis, In Proceedings of the HLT-EMNLP 2005, pp 347-354.
14. R. Prabowo and M. Thelwall, "Sentiment analysis: A combined approach. Journal of Informetrics, 3(2):143-157, April 2009.
15. J. Carrillo, L Plaza, and P Gervas, "A hybrid approach to emotional sentence polarity and intensity classification, CoNLL 2010.
16. M. Taboada, J. Brooke, M. Tofiloski, K. Voll, and M. Stede, "Lexicon-based methods for sentiment analysis, Computational Linguistics, 2011.
17. T. Mullen and N. Collier, "Sentiment analysis using support vector machines with diverse information sources, In Dekang Lin and Dekai Wu, editors, Proceedings of EMNLP, Barcelona, Spain, July. Association for Computational Linguistics, pp. 412-418, 2004.
18. O. F. Zaidan, J. Eisner, and C. D. Piatko, "Using Annotator Rationales to Improve Machine Learning for Text Categorization, Proceedings of NAACL HLT, pp. 260-267, 2007.
19. A. Meena and T. V. Prabhakar, "Sentence Level Sentiment Analysis in the Presence of Conjuncts Using Linguistic Analysis, In Proceedings of ECIR 2007, pp. 573-580.
20. J. Martineau and T. Finin, "Delta TFIDF: An Improved Feature Space for Sentiment Analysis, In Proceedings of the 3rd AAAI International Conference on Weblogs and Social Media, 2009.
21. Sh. Gao, W. Wu, Ch. Lee, T. Chua, "A maximal Figure-of-Merit (MFoM)-Learning Approach to Robast Classifier Design for Text Categorization, " ACM Transactions on Information Systems, Vol. 24, No. 2, April 2006, pp. 190-218.
22. M. Helmi, S. M. T. AlModarresi, "Human Activity Recognition Using a Fuzzy Inference System, " FUZZ-IEEE 2009, Korea, August 20-24, 2009.
23. R. Fuller, "Neural Fuzzy Systems, " 1995.
24. D. Rutkovskiy, M. Pilinskiy, L. Rutkovskiy, "Neural networks, genetic algorithms and fuzzy systems, " 2006.
25. P. Blunsom, "Hidden Markov Models, " Lecture notes, 2004.
26. K. R. Aida-zade, S. S. Rustamov, and U, Ch, Baxishov, "The Application of Hidden Markov Model in Human-Computer Dialogue Understanding System, Trans. of ANAS, series of physical-mathematical and technical sciences, Baku, vol. XXXII, No 3, pp. 37-46, 2012 (in Azerbaijani).