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

Machine Learning (1505) Infodemiology and Infoveillance (1369) Advanced Data Analytics in eHealth (142) Big Data (246) Discourse (38)

Published on in Vol 10, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33678, first published .
Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study

Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study

Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study

Authors of this article:

William Baker1 Author Orcid Image ;   Jason B Colditz2 Author Orcid Image ;   Page D Dobbs3 Author Orcid Image ;   Huy Mai1 Author Orcid Image ;   Shyam Visweswaran4 Author Orcid Image ;   Justin Zhan1 Author Orcid Image ;   Brian A Primack5 Author Orcid Image
Article Authors Cited by (11) Tweetations (5) Metrics

William Baker   1 , BSc ;   Jason B Colditz   2 , MEd, PhD ;   Page D Dobbs   3 , PhD ;   Huy Mai   1 , BSc ;   Shyam Visweswaran   4 , MD, PhD ;   Justin Zhan   1 , PhD ;   Brian A Primack   5 , MD, PhD

1 Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, United States

2 Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States

3 Health, Human Performance and Recreation Department, University of Arkansas, Fayetteville, AR, United States

4 Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States

5 College of Public Health and Human Science, Oregon State University, Corvallis, OR, United States

Corresponding Author:

  • Page D Dobbs, PhD
  • Health, Human Performance and Recreation Department
  • University of Arkansas
  • 308A HPER Building
  • Fayetteville, AR, 72701
  • United States
  • Phone: 1 476-575-8680
  • Email: pdobbs@uark.edu