Comparative analysis of BERT-based and generative large language models for detecting suicidal ideation: a performance evaluation study

Comparative analysis of BERT-based and generative large language models for detecting suicidal ideation: a performance evaluation study

Abstract: Artificial intelligence can detect suicidal ideation manifestations in texts. Studies demonstrate that BERT-based models achieve better performance in text classification problems. Large language models (LLMs) answer free-text queries without being specifically trained. This work aims to c...

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Bibliographic Details
Main Authors: Adonias Caetano de Oliveira, Renato Freitas Bessa, Ariel Soares Teles
Format: Article
Language:English
Published: Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz 2024-11-01
Series:Cadernos de Saúde Pública
Subjects:
Suicide
Suicidal Ideation
Artificial Intelligence
Natural Language Processing
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2024001001413&lng=en&tlng=en
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