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Identifying Topics for E-Cigarette User-Generated Contents: A Case Study From Multiple Social Media Platforms.

Yongcheng ZhanRuoran LiuQiudan LiScott James LeischowDaniel Dajun Zeng
Published in: Journal of medical Internet research (2017)
This study examined Reddit, JuiceDB, and Twitter as social media data sources for e-cigarette research. These mined findings could be further used by other researchers and policy makers. By utilizing the automatic topic-modeling method, the proposed unified feedback model could be a useful tool for policy makers to comprehensively consider how to collect valuable feedback from social media.
Keyphrases
  • social media
  • health information
  • public health
  • healthcare
  • mental health
  • smoking cessation
  • machine learning
  • electronic health record
  • deep learning
  • big data
  • drinking water
  • artificial intelligence
  • neural network