Abstract
The COVID-19 pandemic has caused widespread devastation throughout the world. In addition to the health and economical impacts, there is an enormous emotional toll associated with the constant stress of daily life with the numerous restrictions in place to combat the pandemic. To better understand the impact of COVID-19, we proposed a framework that utilizes public tweets to derive the sentiments, emotions and discussion topics of the general public in various regions and across multiple timeframes. Using this framework, we study and discuss various research questions relating to COVID-19, namely: (i) how sentiments/emotions change during the pandemic' (ii) how sentiments/emotions change in relation to global events' and (iii) what are the common topics discussed during the pandemic'
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CITATION STYLE
Shaynn-Ly Kwan, J., & Hui Lim, K. (2020). Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter. In Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020 (pp. 623–626). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ASONAM49781.2020.9381384
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