Modeling Co-Existing Mental Health Risks in Social Media via Multi-Label Learning and LLM
This work forms social-media-based risk identification as a multi-label text classification problem, enabling the simultaneous prediction of co-existing risks within a single post, and benchmarks multiple transformer-based encoders under a unified multi-label training protocol and reports macro/micro F1 performance, hi...