Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter
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Abstract (arXiv)
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?
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Dec 2020.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 0; 2024: 1.
5 papers.
- 2024CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classificationcited by 6
- 2021"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemiccited by 4
- 2021Real-time Spatio-temporal Event Detection on Geotagged Social Mediacited by 2
- 2021Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modellingcited by 1
- 2021User Identification across Social Networking Sites using User Profiles and Posting Patternscited by 0
- 2024CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification11 Jan 2024
- 2021Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling24 Dec 2021
- 2021"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic4 Dec 2021
- 2021Real-time Spatio-temporal Event Detection on Geotagged Social Media23 Jun 2021
- 2021User Identification across Social Networking Sites using User Profiles and Posting Patterns22 Jun 2021