Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models

Socially Aware Synthetic Data Generation for Suicidal Ideation Detection Using Large Language Models

Suicidal ideation detection is a vital research area that holds great potential for improving mental health support systems. However, the sensitivity surrounding suicide-related data poses challenges in accessing large-scale, annotated datasets necessary for training effective machine learning model...

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Bibliographic Details
Main Authors: Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
deep learning
large language models
suicide detection
synthetic data generation
transformer based models
Online Access:https://ieeexplore.ieee.org/document/10413447/

Internet

https://ieeexplore.ieee.org/document/10413447/

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