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

10.2196/29789

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Bibliographic Details
Main Authors: Liew, Tau Ming, Lee, Cia Sin
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: JMIR Publications Inc. 2022
Subjects:
COVID-19
Infodemiology
Machine learning
Natural language processing
Social media
Vaccine hesitancy
Online Access:https://scholarbank.nus.edu.sg/handle/10635/233100
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Institution: National University of Singapore
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Summary:10.2196/29789

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