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Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study.

Shyam VisweswaranJason B ColditzPatrick O'HalloranNa-Rae HanSanya B TanejaJoel WellingKar-Hai ChuJaime E SidaniBrian A Primack
Published in: Journal of medical Internet research (2020)
We derived and evaluated traditional machine learning and deep learning classifiers to identify vaping-related relevant, commercial, and provape tweets. Overall, deep learning classifiers such as LSTM-CNN had superior performance and had the added advantage of requiring no preprocessing. The performance of these classifiers supports the development of a vaping surveillance system.
Keyphrases
  • machine learning
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • big data
  • public health
  • social media