Social media has become a valuable resource for the study of suicidal ideation and the assessment of suicide risk. Among social media platforms, Reddit has emerged as the most promising one due to its anonymity and its focus on topic-based communities (subreddits) that can be indicative of someone's state of mind or interest regarding mental health disorders such as r/SuicideWatch, r/Anxiety, r/depression. A challenge for previous work on suicide risk assessment has been the small amount of labeled data. We propose an empirical investigation into several classes of weakly-supervised approaches, and show that using pseudo-labeling based on related issues around mental health (e.g., anxiety, depression) helps improve model performance for suicide risk assessment.
@article{arxiv.2106.02792,
title = {Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains},
author = {Chenghao Yang and Yudong Zhang and Smaranda Muresan},
journal= {arXiv preprint arXiv:2106.02792},
year = {2021}
}
Comments
ACL 2021 short paper. Code is available at https://github.com/yangalan123/WM-SRA (under construction)