Transformer-Based Topic Modeling: Characterizing Cannabis Product Adverse Experiences Self-Reported as Requiring Medical Attention on Reddit

Key Points

• The research aims to identify and characterize adverse experiences related to cannabis use as reported on Reddit.
• Utilized keyword filtering to gather relevant discussions.
• Employed a transformer-based algorithm for analysis.
• Applied inductive content coding to categorize experiences.
• Identified a total of 1177 self-reported adverse experiences.
• Characterized specific types of adverse experiences requiring medical attention.

Abstract