2023
DOI: 10.3390/healthcare11131871
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Topic Modeling Analysis of Diabetes-Related Health Information during the Coronavirus Disease Pandemic

Abstract: This study aimed to provide diabetes-related health information by analyzing queries posted in the diabetes-related online community required during the COVID-19 pandemic. A total of 9156 queries from the diabetes-related online community, dated between 1 December 2019 and 3 May 2022, were used in the study. The collected data were preprocessed for bidirectional encoder representation from transformer topic modeling analysis. Topics were extracted using the class-based term frequency–inverse document frequency… Show more

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Cited by 3 publications
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