Efficient Detection System of Vaping Discussions on Reddit: Towards Enhanced Public Health Monitoring

Poster Number: P158
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Natural Language Processing, Deep Learning, Social Media and Connected Health
Primary Track: Applications

This study proposed an effective natural language process (NLP) system to identify vaping-related discussions on Reddit, using an ensemble of pre-trained BERT models. Addressing the gap in conventional social media surveillance methods, this methodology enhances public health monitoring by accurately capturing vaping dialogues, paving the way for targeted intervention strategies.

Speaker(s):
Yang Ren, MS
Univeristy of South Carolina

Author(s):
Dezhi Wu, PhD - University of South Carolina; Erin Kasson, MS - university of washington st louis; Patricia Cavazos-Rehg, PHD - university of washington st louis; Ming Huang, PhD - UTHealth;