References

Agarwal, B., N. Mittal, P. Bansal and S. Garg, 2015. Sentiment analysis using common-sense and context information. Comput. Intell. Neurosci., 2015: 1-9.
CrossRef  |  Direct Link  |  

Amine, A., Z. Elberrichi and M. Simonet, 2010. Evaluation of text clustering methods using wordnet. Int. Arab J. Inf. Technol., 7: 349-357.
Direct Link  |  

Bouras, C. and V. Tsogkas, 2012. A clustering technique for news articles using word net Knowl. Based Syst., 36: 115-128.
CrossRef  |  

Guo, H., H. Zhu, Z. Guo, X.X. Zhang and Z. Su, 2009. Product feature categorization with multilevel latent semantic association. Proceedings of International Conference on Information and Knowledge Management, November 2-6, 2009, ACM, China, ISBN:978-1-60558-512-3, pp: 1087-1096.

Gupta, P., S. Kumar and K. Jaidka, 2015. Summarizing Customer Reviews through Aspects and Contexts. In: Computational Linguistics and Intelligent Text Processing, Alexander, G. (Ed.). Springer, Berlin, Germany, ISBN:978-3-319-18116-5, pp: 241-256.

Hoang, H.H., S.N. Kim and M.Y. Kan, 2009. A re-examination of lexical association measures. Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications, August 6-6, 2009, Association for Computational Linguistics, Stroudsburg, Pennsylvania, USA., ISBN:978-1-932432-60-2, pp: 31-39.

Holzinger, A., J. Schantl, M. Schroettner, C. Seifert and K. Verspoor, 2014. Biomedical Text Mining: State-of-the-Art Open Problems and Future Challenges. In: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, Andreas, H. and I. Jurisica (Eds.). Springer, Berlin, Germany, ISBN:978-3-662-43967-8, pp: 271-300.

Li, S., Y. Sun and D. Soergel, 2015. A new method for automatically constructing domain-oriented term taxonomy based on weighted word co-occurrence analysis. Scientometrics, 103: 1023-1042.
CrossRef  |  Direct Link  |  

Lin, Z., W. Wang, X. Jin, J. Liang and D. Meng, 2015. A word vector and matrix factorization based method for opinion lexicon extraction. Proceedings of the 24th International Conference on World Wide Web, May 18-22, 2015, ACM, Florence, Italy, ISBN:978-1-4503-3473-0, pp: 67-68.

Miller, G.A., 1995. WordNet: A lexical database for English. Commun. ACM, 38: 39-41.
CrossRef  |  Direct Link  |  

Wei, T., Y. Lu, H. Chang, Q. Zhou and X. Bao, 2015. A semantic approach for text clustering using Word Net and lexical chains. Expert Syst. Appl., 42: 2264-2275.
Direct Link  |  

Witten, I. H., E. Frank and M.A. Hall, 2011. Data Mining: Practical Machine Learning Tools and Techniques. 3rd Edn., Morgan Kaufmann, USA.

Wu, Y., Q. Zhang, X. Huang and L. Wu, 2009. Phrase dependency parsing for opinion mining. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, August 6, 2009, Association for Computational Linguistics, Stroudsburg, Pennsylvania, USA., ISBN:978-1-932432-63-3, pp: 1533-1541.