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

JMIR Theme Issue: COVID-19 Special Issue (2242) Infodemiology and Infoveillance (1127) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (923) Infectious Diseases (non-STD/STI) (1289) Mass Media/Social Media Communication and Campaigns (406) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1385) Vaccination and Immunization in the Digital Age (295) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1402) Infoveillance and Social Listening (152) COVID-19 Vaccination (105) Vaccination Sentiment and Anti-Vaccination Infodemiology (37)

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 Jang 1, 2 Author Orcid Image ;   Emily Rempel 2 Author Orcid Image ;   Ian Roe 2 Author Orcid Image ;   Prince Adu 2 Author Orcid Image ;   Giuseppe Carenini 1 Author Orcid Image ;   Naveed Zafar Janjua 2, 3, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (55) Metrics

Journals

  1. Hsu J, Tsai R. Increased Online Aggression During COVID-19 Lockdowns: Two-Stage Study of Deep Text Mining and Difference-in-Differences Analysis. Journal of Medical Internet Research 2022;24(8):e38776 View
  2. Amujo O, Ibeke E, Fuzi R, Ogara U, Iwendi C. Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect. Sustainability 2023;15(4):3212 View
  3. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View
  4. Piltch-Loeb R, Su M, Bonetti M, Testa M, Stanton E, Toffolutti V, Savoia E. Cross-National Vaccine Concerns and Predictors of Vaccine Hesitancy in Not-Fully Vaccinated Individuals: Findings from USA, Canada, Sweden, and Italy. Vaccines 2022;10(10):1652 View
  5. Canaparo M, Ronchieri E, Scarso L. A natural language processing approach for analyzing COVID-19 vaccination response in multi-language and geo-localized tweets. Healthcare Analytics 2023;3:100172 View
  6. Liu J, Lu S, Zheng H. Analysis of Differences in User Groups and Post Sentiment of COVID-19 Vaccine Hesitators in Chinese Social-Media Platforms. Healthcare 2023;11(9):1207 View
  7. Lindelöf G, Aledavood T, Keller B. Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts. Journal of Medical Internet Research 2023;25:e41319 View