Evaluating Transformer Models for Suicide Risk Detection on Social Media DOI

Jakub Pokrywka,

Jeremi I. Kaczmarek,

Edward J. Gorzelańczyk

и другие.

2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 8566 - 8573

Опубликована: Дек. 15, 2024

Язык: Английский

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

и другие.

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Фев. 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.

Язык: Английский

Процитировано

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

и другие.

Intelligent Systems with Applications, Год журнала: 2025, Номер unknown, С. 200515 - 200515

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

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, Год журнала: 2025, Номер 15(9), С. 5138 - 5138

Опубликована: Май 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” [...]

Язык: Английский

Процитировано

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

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 124816 - 124833

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

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

и другие.

Journal of Biomedical Informatics, Год журнала: 2024, Номер unknown, С. 104755 - 104755

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

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

Jakub Pokrywka,

Jeremi I. Kaczmarek,

Edward J. Gorzelańczyk

и другие.

2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 8566 - 8573

Опубликована: Дек. 15, 2024

Язык: Английский

Процитировано

0