Subject
Computer Science Applications,Media Technology,Education,Communication
Reference18 articles.
1. Albalawi, Y., Carroll, N., & Nikolov, N. S. (2017). Opportunities for social media to support health communication in health crises. In The 3rd European Technology Assessment Conference.
2. Arpaci, I., Alshehabi, S., Al-Emran, M., Khasawneh, M., Mahariq, I., Abdeljawad, T., & Hassanien, A. E. (2020). Analysis of Twitter data using evolutionary clustering during the COVID-19 pandemic. Computers, Materials & Continua, 65(1), 193-204. https://doi.org/10.32604/cmc.2020.011489
3. Chen, C. W., Lee, S., Dong, M. C., & Taniguchi, M. (2021). What factors drive the satisfaction of citizens with governments’ responses to COVID-19? International Journal of Infectious Diseases, 102, 327-331. https://doi.org/10.1016/j.ijid.2020.10.050
4. Dey, R. K., Sarddar, D., Sarkar, I., Bose, R., & Roy, S. (2020). A literature survey on sentiment analysis techniques involving social media and online platforms. International Journal of Scientific & Technology Research, 9(5), 166-173.
5. Hutto, C., & Gilbert, E. (2014). Vader: A parsimonious rule-based model for sentiment analysis of social media text. In Proceedings of the International AAAI Conference on Web and Social Media (pp. 216-225). https://ojs.aaai.org/index.php/ICWSM/article/view/14550
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献