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Text mining applications to support health library practice: A case study on marijuana legalization Twitter analytics.

Janice Yu Chen KungKynan LyAli Shiri
Published in: Health information and libraries journal (2023)
Findings from sentiment analysis may determine usage patterns from users. There are several ways in which libraries may use text mining to make evidence-informed decisions such as examining all possible terminologies used by the public to help inform comprehensive evidence synthesis projects and build taxonomies for digital libraries and repositories.
Keyphrases
  • healthcare
  • mental health
  • smoking cessation
  • public health
  • quality improvement
  • social media
  • big data
  • machine learning
  • deep learning