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

JMIR Theme Issue: COVID-19 Special Issue (2457) Infodemiology and Infoveillance (1360) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1048) Infectious Diseases (non-STD/STI) (1584) Mass Media/Social Media Communication and Campaigns (466) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1519) Vaccination and Immunization in the Digital Age (378) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1656) Infoveillance and Social Listening (211) COVID-19 Vaccination (153) Vaccination Sentiment and Anti-Vaccination Infodemiology (61)

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 (21) Tweetations (53) Metrics

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