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

Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Natural Language Processing (693) Information Models (28) Machine Learning (1465) Smoking Cessation (557)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30257, first published .
Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis

Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis

Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis

Authors of this article:

Rob Chew1 Author Orcid Image ;   Michael Wenger1 Author Orcid Image ;   Jamie Guillory2 Author Orcid Image ;   James Nonnemaker2 Author Orcid Image ;   Annice Kim2 Author Orcid Image
Article Authors Cited by (6) Tweetations (9) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.