Asian Journal of Information Technology

Year: 2016
Volume: 15
Issue: 5
Page No. 887 - 890

Fuzzy Classification Techniques for Effective Sentiment Analysis Using Twitter Data

Authors : V. Soundarya and D. Manjula

References

Balahur, A., M. Kabadjov, J. Steinberger, R. Steinberger and A. Montoyo, 2012. Challenges and solutions in the opinion summarization of user-generated content. J. Intell. Inf. Syst., 39: 375-398.
CrossRef  |  Direct Link  |  

Devitt, A. and K. Ahmad, 2007. Sentiment polarity identification in financial news: A cohesion-based approach. Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, June 23-30, 2007, Prague, Czech Republic, pp: 984-991.

Esuli, A. and F. Sebastiani, 2006. Determining term subjectivity and term orientation for opinion mining. Proceedings of the 11th Meeting on European Chapter of the Association for Computational Linguistics, April 3-7, 2006, Trento, pp: 193-200.

Esuli, A. and F. Sebastiani, 2006. Sentiwordnet: A publicly available lexical resource for opinion mining. Proceedings of the 5th International Conference on Language Resources and Evaluation, May 22-28, 2006, Genoa, Italy, pp: 417-422.

Ganapathy, S., K. Kulothungan, S. Muthurajkumar, M. Vijayalakshmi, P. Yogesh and A. Kannan, 2013. Intelligent feature selection and classification techniques for intrusion detection in networks: A survey. EURASIP J. Wireless Commun. Network. 10.1186/1687-1499-2013-271

Li, B., L. Zhou, S. Feng and K.F. Wong, 2010. A unified graph model for sentence-based opinion retrieval. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, July 11-16, 2010, Association for Computational Linguistics, Stroudsburg, PA, USA, pp: 1367-1375.

Lindholm, S., 2011. Extracting content from online news sites. Master's Thesis, Computing Science, UMEA University, Sweden.

Liu, B., 2012. Sentiment Analysis and Opinion Mining. Morgan and Claypool Publishers, Florida, ISBN: 9781608458844, Pages: 167.

Lloret, E., A. Balahur, J.M. Gomez, A. Montoyo and M. Palomar, 2012. Towards a unified framework for opinion retrieval, mining and summarization. J. Intell. Inf. Syst., 39: 711-747.
CrossRef  |  Direct Link  |  

Neviarouskaya, A., H. Prendinger and M. Ishizuka, 2009. Sentiful: Generating a reliable lexicon for sentiment analysis. Proceedings of the 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, September 10-12, 2009, Amsterdam, pp: 1-6.

Ohana, B. and B. Tierne, 2009. Sentiment classification of reviews using SentiWordNet. Proceedings of the IT&T 9th International Conference on Information Technology and Telecommunication, October 22-23, 2009, Dublin, Ireland -.

Ortigosa, A., J.M. Martin and R.M. Carro, 2014. Sentiment analysis in Facebook and its application to e-learning. Comput. Human Behav., 31: 527-541.
CrossRef  |  Direct Link  |  

Pang, B. and L. Lee, 2008. Opinion mining and sentiment analysis. Found. Trends Inform. Retrieval, 2: 1-135.
CrossRef  |  Direct Link  |  

Shelke, N.M., S. Deshpande and V. Thakre, 2012. Survey of techniques for opinion mining. Int. J. Comput. Applic., 57: 30-35.
Direct Link  |  

Trilla, A. and F. Alias, 2012. Sentence-based sentiment analysis for expressive text-to-speech. IEEE Trans. Audio Speech Language Process., 21: 223-233.
CrossRef  |  

Wiebe, J. and E. Riloff, 2011. Finding mutual benefit between subjectivity analysis and information extraction. Trans. Affect. Comput., 2: 175-191.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved