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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infectious Diseases (non-STD/STI) (1575) Machine Learning (1465) Natural Language Processing (692) Vaccination and Immunization in the Digital Age (374) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Infoveillance and Social Listening (209)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26953, first published .
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Authors of this article:

Stephen Wai Hang Kwok1 Author Orcid Image ;   Sai Kumar Vadde2 Author Orcid Image ;   Guanjin Wang2 Author Orcid Image
Article Authors Cited by (130) Tweetations (40) Metrics

Stephen Wai Hang Kwok   1 , PhD, RN ;   Sai Kumar Vadde   2 , BSc ;   Guanjin Wang   2 , PhD

1 School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

2 Discipline of Information Technology, Media and Communications, Murdoch University, Perth, Australia

Corresponding Author: