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Research Article

Sentiment Analysis of Religious Tweets

Pulkit Gigoo1 Rishabh Tiwari2 Saikrishna Ramesh3 Sanket Bendrey4 Prof Rupali Tornekar5
1234Electronics Department, Vishwakarma Institute of Technology Pune, India. 5Electronics &Communication Department, Vishwakarma Institute of Technology Pune, India.

Published Online: January-February 2022

Pages: 08-16

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References

[1] J. Wiebe and E. Riloff. Creating subjective and objective sentence classifiers from unannotated texts. In In CICLing2005, pages 486– 4972005.
[2] Hutto, C. J., & Gilbert, E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of social media Text. Eighth international AAAI conference on weblogs and social media. Michigan: AAAI Press.
[3] Davidson, T., Warmsley, D., Macy, M., & Weber, I. (2017). Automated Hate Speech Detection and the Problem of Offensive Language. Eleventh International AAAI Conference on Web and social media (pp. 512–515). Montreal: AAAI Press.
[4] K. Dave, S. Lawrence, and D. Pennock. Opinion extraction and semantic classification of product reviews. In Proceedings of the 12th International World Wide Web Conference (WWW), pages 519–528, 20
[5] Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003, 01). Latent Dirichlet Allocation. (J. Lafferty, Ed.) Journal of Machine Learning Research, 993–1022.

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