Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Reference25 articles.
1. Alhazmi, H. (2022). Detection of students’ problems in distance education using topic modeling and machine learning. Future Internet, 14(6), 170.
2. Ali, M. M. (2021). Arabic sentiment analysis about online learning to mitigate covid-19. Journal of Intelligent Systems, 30(1), 524–540.
3. Arambepola, N. (2020). Analysing the tweets about distance learning during COVID-19 pandemic using sentiment analysis. In Proc of the International Conference on Advances in Computing and Technology (pp. 169–171).
4. Bhagat, K. K., Mishra, S., Dixit, A., & Chang, C. Y. (2021). Public opinions about online learning during COVID-19: A sentiment analysis approach. Sustainability, 13(6), 3346.
5. Brinton, C. G., Buccapatnam, S., Zheng, L., Cao, D., Lan, A. S., Wong, F. M., ... & Poor, H. V. (2018). On the efficiency of online social learning networks. IEEE/ACM Transactions on Networking, 26(5), 2076–2089.
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