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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infectious Diseases (non-STD/STI) (1575) Mass Media/Social Media Communication and Campaigns (461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Vaccination and Immunization in the Digital Age (374) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance and Social Listening (209) COVID-19 Vaccination (146) Vaccination Sentiment and Anti-Vaccination Infodemiology (58)

Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35016, first published .
Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis

Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis

Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis

Authors of this article:

Hyeju Jang1, 2 Author Orcid Image ;   Emily Rempel2 Author Orcid Image ;   Ian Roe2 Author Orcid Image ;   Prince Adu2 Author Orcid Image ;   Giuseppe Carenini1 Author Orcid Image ;   Naveed Zafar Janjua2, 3, 4 Author Orcid Image
Article Authors Cited by (20) Tweetations (54) Metrics

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