Author:
Vaish Neha,Goel Nidhi,Gupta Gaurav
Publisher
Springer International Publishing
Reference11 articles.
1. Pang, B., Lee, L., Vaithyanathan, S.: Sentiment classification using machine learning techniques. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 79–86 (2002)
2. Liu, B.: Sentiment analysis and subjectivity. In: Indurkhya, N., Damerau, F.J. (eds.) Handbook of Natural Language Processing, 2nd ed. CRC Press, Boca Raton (2010)
3. Cambria, E.: Affective computing and sentiment analysis. IEEE Intell. Syst. 31(2), 102–107 (2016). https://doi.org/10.1109/MIS.2016.31
4. Naz, S., Sharan, A., Malik, N.: Sentiment classification on Twitter data using support vector machine. In: Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI), Santiago, Chile, December 2018, pp. 3–6 (2018). https://doi.org/10.1109/WI.2018.00-13
5. Sarkar, K.: Using character N-gram features and multinomial Naïve Bayes for sentiment polarity detection in Bengali tweets. In: Proceedings of 5th International Conference on Emerging Applications of Information Technology (EAIT), Kolkata, India, January 2018, pp. 12–13 (2018). https://doi.org/10.1109/EAIT.2018.8470415
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