1. Statista Page:
https://www.statista.com/statistics/278407/number-of-social-network-users-in-india/
. Last accessed 11 Jan 2020
2. Gupta, A., Kumaraguru, P., Castillo, C., Meier, P.: TweetCred: real-time credibility assessment of content on twitter. In: Aiello, L.M., McFarland, D. (eds.) Social Informatics. SocInfo 2014. Lecture Notes in Computer Science, vol 8851. Springer, Cham (2014)
3. Imran, M., Mitra, P., Castillo, C.: Twitter as a lifeline: human-annotated twitter corpora for NLP of crisis-related Messages. In: Proceedings of the 10th Language Resources and Evaluation Conference (LREC), May 2016, pp. 1638–1643. Portorož, Slovenia (2016)
4. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language processing, vol. 10, pp. 79–86. Association for Computational Linguistics (2002)
5. Jiang, L., Yu, M., Zhou, M., Liu, X., Zhao, T.: Target-dependent twitter sentiment classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1, pp. 151–160. Association for Computational Linguistics (2011)