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Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking.

Kar-Hai ChuJason B ColditzMomin M MalikTabitha YatesBrian A Primack
Published in: Journal of medical Internet research (2019)
Sentiment analysis can allow researchers to identify audience segments on social media that demonstrate ambiguity toward key public health issues, such as HTS, and therefore represent ideal populations for intervention. Using large social media datasets can help public health officials to preemptively identify specific audience segments that would be most receptive to targeted campaigns.
Keyphrases
  • social media
  • public health
  • health information
  • machine learning
  • global health
  • randomized controlled trial
  • smoking cessation
  • healthcare
  • artificial intelligence
  • drug delivery
  • big data
  • genetic diversity