Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study

BACKGROUND: Twitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public health surveillance. Machine learning classifiers that identify vaping-relevant tweets and characterize sentiments in them can under...

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Detalles Bibliográficos
Autores principales: Visweswaran, Shyam, Colditz, Jason B, O’Halloran, Patrick, Han, Na-Rae, Taneja, Sanya B, Welling, Joel, Chu, Kar-Hai, Sidani, Jaime E, Primack, Brian A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450367/
https://www.ncbi.nlm.nih.gov/pubmed/32784184
http://dx.doi.org/10.2196/17478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450367/
https://www.ncbi.nlm.nih.gov/pubmed/32784184
http://dx.doi.org/10.2196/17478

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