Sentiment Study Approach Based on Chat Summarization

Author:

Kumar Dinesh,Ahuja Sunil,Kumar Sorab,Mohanty Mihir Narayan

Publisher

Springer Singapore

Reference9 articles.

1. Tzacheva, A.A., Ranganathan, J.: Action rules for sentimental study using Twitter. Int. J. Soc. Netw. Min. (2017, in Press)

2. Bagavathi, A., Tzacheva, A.A.: Rule based systems in distributed environment: survey. In: Proceedings of International Conference on Cloud Computing and Applications (CCA17), 3rd World Congress on Electrical Engineering and Computer Systems and Science (EECSS 2017), Rome, Italy, 4–6 June 2017, pp. 1–17 (2017)

3. Huq, M.R., Ali, A., Rahman, A.: Sentiment study on Twitter data using KNN and Support Vector Machine. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 8(6), 19–25 (2017)

4. Dey, L., Chakraborty, S., Biswas, A., Bose, B., Tiwari, S.: Sentiment Study of Review Datasets Using Naïve Bayes’ and K-NN Classifier. Research Paper Publications (2014)

5. Awachate, P.B., Kshirsagar, V.P.: Improved Twitter sentiment study using N-Gram feature selection and combinations. Int. J. Adv. Res. Comput. Commun. Eng. 5(9), 154–157 (2016)

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