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Analyzing sentiments and themes on cannabis in Canada using 2018 to 2020 Twitter data.

Said Ahmad Maisam NajafizadaArifur RahmanJennifer DonnanZhihao DongLisa Bishop
Published in: Journal of cannabis research (2022)
This study combined the power of big data collection and analysis with manual coding and analysis methods to extract rich content from large data using social media communications on issues related to cannabis in Canada. The findings of this study may inform policies on advertising cannabis products and highlighted some patterns related to education, access, and safety that deserve further investigation.
Keyphrases
  • social media
  • big data
  • machine learning
  • artificial intelligence
  • healthcare
  • electronic health record
  • health information
  • public health
  • oxidative stress