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

Infoveillance and Social Listening (238) JMIR Theme Issue: COVID-19 Special Issue (2487) Outbreak and Pandemic Preparedness and Management (1777) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1766) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1084) Infodemiology and Infoveillance (1440)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36941, first published .
Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia

Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia

Perspectives of the COVID-19 Pandemic on Reddit: Comparative Natural Language Processing Study of the United States, the United Kingdom, Canada, and Australia

Authors of this article:

Mengke Hu1 Author Orcid Image ;   Mike Conway1, 2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Kancharapu R, A Ayyagari S. A comparative study on word embedding techniques for suicide prediction on COVID-19 tweets using deep learning models. International Journal of Information Technology 2023;15(6):3293 View
  2. Dhankar A, Katz A. Tracking pregnant women’s mental health through social media: an analysis of reddit posts. JAMIA Open 2023;6(4) View
  3. Jerfy A, Selden O, Balkrishnan R. The Growing Impact of Natural Language Processing in Healthcare and Public Health. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View