Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning

BACKGROUND: Electronic cigarettes (e-cigarettes) continue to be a growing topic among social media users, especially on Twitter. The ability to analyze conversations about e-cigarettes in real-time can provide important insight into trends in the public’s knowledge, attitudes, and beliefs surroundin...

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Detalles Bibliográficos
Autores principales: Cole-Lewis, Heather, Varghese, Arun, Sanders, Amy, Schwarz, Mary, Pugatch, Jillian, Augustson, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642404/
https://www.ncbi.nlm.nih.gov/pubmed/26307512
http://dx.doi.org/10.2196/jmir.4392

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642404/
https://www.ncbi.nlm.nih.gov/pubmed/26307512
http://dx.doi.org/10.2196/jmir.4392

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