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Examining the Utility of Social Media in COVID-19 Vaccination:  Unsupervised Learning of 672,133 Twitter Posts

Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts

Following the same approach used by Koh and Liew [22], only tweets that were posted by individual users, and not organizations or news outlets, were included in this study so that we could focus on individuals’ sentiments about COVID-19 vaccines and minimize the selection of objective reports about the vaccines, such as those in news articles, or tweets by nonhuman Twitter users (ie, bots).

Tau Ming Liew, Cia Sin Lee

JMIR Public Health Surveill 2021;7(11):e29789