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Dataset Information

COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment-Based Topic Modeling.


ABSTRACT:

Background

COVID-19 vaccines are one of the most effective preventive strategies for containing the pandemic. Having a better understanding of the public's conceptions of COVID-19 vaccines may aid in the effort to promptly and thoroughly vaccinate the community. However, because no empirical research has yet fully explored the public's vaccine awareness through sentiment-based topic modeling, little is known about the evolution of public attitude since the rollout of COVID-19 vaccines.

Objective

In this study, we specifically focused on tweets about COVID-19 vaccines (Pfizer, Moderna, AstraZeneca, and Johnson & Johnson) after vaccines became publicly available. We aimed to explore the overall sentiments and topics of tweets about COVID-19 vaccines, as well as how such sentim

SUBMITTER: Huangfu L 

PROVIDER: S-EPMC8827037 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature