Leveraging natural language processing and geospatial time series model to analyze COVID-19 vaccination sentiment dynamics on Tweets.
To develop and apply a natural language processing (NLP)-based approach to analyze public sentiments on social media and their geographic pattern in the United States toward coronavirus disease 2019 (COVID-19) vaccination. We also aim to provide insights to facilitate the understanding of the public attitudes and concerns regarding COVID-19 vaccination.
Author(s): Ye, Jiancheng, Hai, Jiarui, Wang, Zidan, Wei, Chumei, Song, Jiacheng
DOI: 10.1093/jamiaopen/ooad023