This paper is in the following e-collection/theme issue:

COVID-19 Vaccination (146) Infodemiology and Infoveillance (1349) Infoveillance and Social Listening (209) JMIR Theme Issue: COVID-19 Special Issue (2452) Natural Language Processing (692) Mass Media/Social Media Communication and Campaigns (461) Machine Learning (1465) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Vaccination and Immunization in the Digital Age (374) Hygiene and Infection Prevention (317) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Parent and Caregiver Education and Behavior Change for Vaccination (74) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29789, first published .
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

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

Authors of this article:

Tau Ming Liew1, 2 Author Orcid Image ;   Cia Sin Lee3, 4 Author Orcid Image
Article Authors Cited by (30) Tweetations (9) Metrics

Tau Ming Liew   1, 2 * , MRCPsych, PhD ;   Cia Sin Lee   3, 4 * , MMed (Fam Med), FCFP(S)

1 Department of Psychiatry, Singapore General Hospital, Singapore, Singapore

2 Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore

3 SingHealth Polyclinics, Singapore, Singapore

4 Family Medicine Academic Clinical Programme, Duke-NUS Medical School, Singapore, Singapore

*all authors contributed equally

Corresponding Author: