Evaluating Transformer Models for Suicide Risk Detection on Social Media DOI

Jakub Pokrywka,

Jeremi I. Kaczmarek,

Edward J. Gorzelańczyk

et al.

2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 8566 - 8573

Published: Dec. 15, 2024

Language: Английский

Microblog discourse analysis for parenting style assessment DOI Creative Commons
Zihan Wei, Lei Cao, Zhihong Qiao

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 11, 2025

Introduction Parents' negative parenting style is an important cause of anxiety, depression, and suicide among university students. Given the widespread use social media, microblogs offer a new promising way for non-invasive, large-scale assessment styles students' parents. Methods In this study, we have two main objectives: (1) investigating correlation between microblog discourses parents' (2) devising method to predict from their discourses. We analyzed 111,258 posts 575 students using frequency analysis examine differences in usage topical emotional word across different styles. Informed by these insights, developed effective method, including injection module. Results Experimental results on show that our outperforms all baseline NLP methods (including ChatGPT-4), achieving good performance reducing MSE 14% 0.12. Discussion Our study provides pioneering microblog-based tool constructs dataset, merging insights psychology computational science. On one hand, advances understanding how are reflected linguistic expressions microblogs. other assisting could be used healthcare institutions identify It facilitates identification risk factors student users, enables timely interventions prevent suicides, which enhances human wellbeing saves lives.

Language: Английский

Citations

0
A comparative analysis on using GPT and BERT for automated vulnerability scoring DOI Creative Commons
Seyedeh Leili Mirtaheri, Andrea Pugliese, Narges Movahed

et al.

Intelligent Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 200515 - 200515

Published: April 1, 2025

Language: Английский

Citations

0
RETRACTED: Choi, H.-S.; Yang, J. Innovative Use of Self-Attention-Based Ensemble Deep Learning for Suicide Risk Detection in Social Media Posts. Appl. Sci. 2024, 14, 893 DOI Creative Commons
Hoan-Suk Choi, Jinhong Yang

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(9), P. 5138 - 5138

Published: May 6, 2025

The journal retracts the article titled “Innovative Use of Self-Attention-Based Ensemble Deep Learning for Suicide Risk Detection in Social Media Posts” [...]

Language: Английский

Citations

0
A Suicidal Ideation Detection Framework on Social Media Using Machine Learning and Genetic Algorithms DOI Creative Commons
Abdallah Basyouni,

Hatem Abdul-Kader,

Wail S. Elkilani

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 124816 - 124833

Published: Jan. 1, 2024

Language: Английский

Citations

0
Enhancing suicidal behavior detection in EHRs: A multi-label NLP framework with transformer models and semantic retrieval-based annotation DOI
Kimia Zandbiglari, Shobhan Kumar, Muhammad Bilal

et al.

Journal of Biomedical Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 104755 - 104755

Published: Dec. 1, 2024

Language: Английский

Citations

0
Evaluating Transformer Models for Suicide Risk Detection on Social Media DOI

Jakub Pokrywka,

Jeremi I. Kaczmarek,

Edward J. Gorzelańczyk

et al.

2021 IEEE International Conference on Big Data (Big Data), Journal Year: 2024, Volume and Issue: unknown, P. 8566 - 8573

Published: Dec. 15, 2024

Language: Английский

Citations

0