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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

The optimal number of topics was identified using the algorithm proposed by Lee and Mimno [25]. Topic modeling was conducted using the stm package [26] in R. Output from topic modeling was examined by the two authors (TML and CSL) to ensure coherence of the identified topics. A descriptive label for each topic was manually crafted by the two authors based on sample tweets of each topic.

Tau Ming Liew, Cia Sin Lee

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