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Classification of Twitter Users Who Tweet About E-Cigarettes.

Annice E KimThomas MianoRobert F ChewMatthew EggersJames M Nonnemaker
Published in: JMIR public health and surveillance (2017)
This study provides a method for classifying five different types of users who tweet about e‑cigarettes. Our model achieved high levels of classification performance for most groups, and examining the tweeting behavior was critical in improving the model performance. Results can help identify groups engaged in conversations about e‑cigarettes online to help inform public health surveillance, education, and regulatory efforts.
Keyphrases
  • public health
  • smoking cessation
  • machine learning
  • deep learning
  • social media
  • replacement therapy
  • healthcare
  • quality improvement
  • transcription factor
  • health information