Digital Epidemiology of Prescription Drug References on X (Formerly Twitter): Neural Network Topic Modeling and Sentiment Analysis.

Journal: Journal of medical Internet research
Published Date: Aug 23, 2024

Abstract

BACKGROUND: Data from the social media platform X (formerly Twitter) can provide insights into the types of language that are used when discussing drug use. In past research using latent Dirichlet allocation (LDA), we found that tweets containing "street names" of prescription drugs were difficult to classify due to the similarity to other colloquialisms and lack of clarity over how the terms were used. Conversely, "brand name" references were more amenable to machine-driven categorization.

Authors

  • Varun K Rao
    Department of Epidemiology & Biostatistics, School of Public Health Bloomington, Indiana University Bloomington, Bloomington, IN, United States.
  • Danny Valdez
    Indiana University, Bloomington, IN, USA.
  • Rasika Muralidharan
    Luddy School of Informatics, Computing and Engineering, Indiana University Bloomington, Bloomington, IN, United States.
  • Jon Agley
    Department of Applied Health Science, School of Public Health Bloomington, Indiana University Bloomington, Bloomington, IN, United States.
  • Kate S Eddens
    Department of Epidemiology & Biostatistics, School of Public Health Bloomington, Indiana University Bloomington, Bloomington, IN, United States.
  • Aravind Dendukuri
    Luddy School of Informatics, Computing and Engineering, Indiana University Bloomington, Bloomington, IN, United States.
  • Vandana Panth
    Luddy School of Informatics, Computing and Engineering, Indiana University Bloomington, Bloomington, IN, United States.
  • Maria A Parker
    Department of Applied Health Science, School of Public Health Bloomington, Indiana University Bloomington, Bloomington, IN, United States.

Keywords

External Resources

Popular Topics
Recent Journals