Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media

Author:

Yin Hui,Yang Shuiqiao,Li Jianxin

Publisher

Springer International Publishing

Reference30 articles.

1. Alduaiji, N., Datta, A., Li, J.: Influence propagation model for clique-based community detection in social networks. IEEE Trans. Comput. Soc. Syst. 5(2), 563–575 (2018)

2. Bhat, M., Qadri, M., Noor-ul Asrar Beg, M.K., Ahanger, N., Agarwal, B.: Sentiment analysis of social media response on the covid19 outbreak. Brain, Behav. Immunity 87, 136–137 (2020)

3. Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 113–120 (2006)

4. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

5. Chen, E., Lerman, K., Ferrara, E.: COVID-19: the first public coronavirus twitter dataset. arXiv preprint arXiv:2003.07372 (2020)

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