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

Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Drug Repurposing and Off-Label Use (25) Infodemiology and Infoveillance (1349)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49469, first published .
Using Transformer-Based Topic Modeling to Examine Discussions of Delta-8 Tetrahydrocannabinol: Content Analysis

Using Transformer-Based Topic Modeling to Examine Discussions of Delta-8 Tetrahydrocannabinol: Content Analysis

Using Transformer-Based Topic Modeling to Examine Discussions of Delta-8 Tetrahydrocannabinol: Content Analysis

Authors of this article:

Brandi Patrice Smith1 Author Orcid Image ;   Brooke Hoots2, 3 Author Orcid Image ;   Lara DePadilla2 Author Orcid Image ;   Douglas R Roehler2 Author Orcid Image ;   Kristin M Holland4 Author Orcid Image ;   Daniel A Bowen4 Author Orcid Image ;   Steven A Sumner1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Kun L, Alli H, Rahman K. The Trends of Potential User Research from 2014-2023 Based on Bibliometric and Bertopic. Revista de Gestão Social e Ambiental 2024;18(9):e06100 View