Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study
Thammasat University · Bangkok Christian Hospital
Indexed incrossrefdoajpubmed
Abstract
Background
COVID-19 is a scientifically and medically novel disease that is not fully understood because it has yet to be consistently and deeply studied. Among the gaps in research on the COVID-19 outbreak, there is a lack of sufficient infoveillance data.
Objective
The aim of this study was to increase understanding of public awareness of COVID-19 pandemic trends and uncover meaningful themes of concern posted by Twitter users in the English language during the pandemic.
Citation impact
500
total citations
- FWCI
- 126.65
- Percentile
- 100%
- References
- 43
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Topic model
- Latent Dirichlet allocation
- Sentiment analysis
- Pandemic
- Coronavirus disease 2019 (COVID-19)
- Categorization
- Preparedness
- Social media
UN Sustainable Development Goals
- Good health and well-being
No related works found for this paper.