Analyzing the Impact of User Behaviors on the Popularity of Tweets: A Use Case from Masking Conversations During the Covid-19 Pandemic
Author:
Affiliation:
1. Dept. of CSE, Univ. of Connecticut, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3582768.3582779
Reference24 articles.
1. Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic with Deep Learning
2. Analyzing Twitter Conversations on Side Effects of Covid-19 Vaccine
3. Nijhum Paul and Swapna S. Gokhale . 2020. Analysis and classification of vaccine dialogue in the coronavirus era . In Proceedings of 2020 International Conference on Big Data (Big Data ’20) . 3220 - 3227 . Nijhum Paul and Swapna S. Gokhale. 2020. Analysis and classification of vaccine dialogue in the coronavirus era. In Proceedings of 2020 International Conference on Big Data (Big Data ’20). 3220-3227.
4. Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning
5. Understanding the mask debate on social media using machine learning techniques;Cerbin Luca;International Journal of Computers and Their Applications,2021
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