Categorizing E-cigarette-related tweets using BERT topic modeling

Categorizing E-cigarette-related tweets using BERT topic modeling

Background: Social media platforms are critical channels for promoting e-cigarettes, particularly among youth, making analysis of their vast and diverse content essential for public health interventions. Prevalence rates of e-cigarette use are high and evidence suggests that social media are popular...

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Bibliographic Details
Main Authors: D. Murthy, S. Keshari, S. Arora, Q. Yang, A. Loukas, S.J. Schwartz, M.B. Harrell, E.T. Hébert, A.V. Wilkinson
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Emerging Trends in Drugs, Addictions, and Health
Subjects:
Bertopic
Topic modeling
Natural language processing
Vape
E-cigarettes
Online Access:http://www.sciencedirect.com/science/article/pii/S2667118224000199
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