Analyzing the Impact of User Behaviors on the Popularity of Tweets: A Use Case from Masking Conversations During the Covid-19 Pandemic-Reference-Cited by-同舟云学术

Analyzing the Impact of User Behaviors on the Popularity of Tweets: A Use Case from Masking Conversations During the Covid-19 Pandemic

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval
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Author:

Warnken Julia¹^ORCID,Gokhale Swapna¹^ORCID

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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