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

JMIR Theme Issue: COVID-19 Special Issue (2391) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Infectious Diseases (non-STD/STI) (1485) Infodemiology and Infoveillance (1274) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Machine Learning (1385) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Hygiene and Infection Prevention (298) Outbreak and Pandemic Preparedness and Management (1675) Vaccination and Immunization in the Digital Age (346)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30251, first published .
Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis

Authors of this article:

Siru Liu1 Author Orcid Image ;   Jili Li2 Author Orcid Image ;   Jialin Liu3 Author Orcid Image
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