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

## TL;DR

This study analyzes self-reported cannabis-related adverse experiences on Reddit to identify patterns and common issues requiring medical attention.

## Contribution

The paper introduces a transformer-based algorithm for characterizing cannabis adverse experiences on social media.

## Key findings

- A total of 1177 self-reported cannabis adverse experiences requiring medical attention were identified.
- The study combines keyword filtering and inductive content coding to categorize these experiences.
- The findings highlight the potential of social media as a source for understanding cannabis-related health issues.

## Abstract

This study uses keyword filtering, a transformer-based algorithm, and inductive content coding to identify and characterize cannabis adverse experiences as discussed on the social media platform Reddit and reports a total of 1177 self-reported adverse experiences requiring medical attention.