Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning.
Journal:
Journal of medical Internet research
Published Date:
Aug 25, 2015
Abstract
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 surrounding e-cigarettes, and subsequently guide public health interventions.