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

Saved in:
Bibliographic Details
Title: Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study.
Authors: Baker W; Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, United States., Colditz JB; Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States., Dobbs PD; Health, Human Performance and Recreation Department, University of Arkansas, Fayetteville, AR, United States., Mai H; Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, United States., Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States., Zhan J; Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, United States., Primack BA; College of Public Health and Human Science, Oregon State University, Corvallis, OR, United States.
Source: JMIR medical informatics [JMIR Med Inform] 2022 Jul 21; Vol. 10 (7), pp. e33678. Date of Electronic Publication: 2022 Jul 21.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101645109 Publication Model: Electronic Cited Medium: Print ISSN: 2291-9694 (Print) Linking ISSN: 22919694 NLM ISO Abbreviation: JMIR Med Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2291-9694
DOI:10.2196/33678