Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques

Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques

Mental stress, a critical concern worldwide, necessitates precise and nuanced characterization. This study introduces a novel approach to effectively characterize mental stress through a multi-label, multi-class classification framework through natural language processing techniques. Building on exi...

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Bibliographic Details
Main Authors: Juswin Sajan John, Boppuru Rudra Prathap, Gyanesh Gupta, Jaivanth Melanaturu
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Natural Language Processing Journal
Subjects:
Mental stress
Natural language processing
Machine learning
Deep learning
Mental health research
LLM
Online Access:http://www.sciencedirect.com/science/article/pii/S294971912500038X
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