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Modeling Public Sentiments About JUUL Flavors on Twitter Through Machine Learning.

Aqdas MalikMuhammad Irfan KhanHabib KarbasianMarko NieminenMuhammad Ammad-Ud-DinSuleiman Ali Khan
Published in: Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2021)
Limiting the content related to flavors and positive perceptions on social media is necessary to minimize exposure to youth. The novel methodology used in this study may be adopted to monitor e-cigarette discourse periodically, as well as other critical public health phenomena online.
Keyphrases
  • social media
  • public health
  • health information
  • machine learning
  • healthcare
  • mental health
  • physical activity
  • primary care
  • artificial intelligence
  • young adults
  • big data
  • smoking cessation
  • deep learning
  • drug induced