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HUMAN OPINION DYNAMICS FOR STRESS DETECTION USING MACHINE LEARNING: Analyzing Psychological Stress through Machine Learning-Based Human Opinion Modeling - Couverture souple

Goyal, Anita

 
9786208430511: HUMAN OPINION DYNAMICS FOR STRESS DETECTION USING MACHINE LEARNING: Analyzing Psychological Stress through Machine Learning-Based Human Opinion Modeling
Couverture souple
ISBN 10 : 6208430518 ISBN 13 : 9786208430511
Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

This book explores the intersection of human opinion dynamics and machine learning for stress detection, presenting a comprehensive framework for understanding how computational models can effectively analyze psychological stress patterns. It delves into the intricate relationship between human emotions, behavioral responses, and machine learning techniques, offering a robust approach to mental health assessment in both clinical and non-clinical settings.The book introduces fundamental concepts of human opinion dynamics, explaining how opinions, emotions, and psychological states evolve in social and digital environments. By integrating these concepts with cutting-edge machine learning algorithms, it provides insights into how stress levels can be detected, monitored, and predicted using computational methods. Various supervised, unsupervised, and deep learning techniques are explored to highlight their potential in analyzing physiological and psychological markers of stress.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2025
Langue
anglais
ISBN 10 
6208430518
ISBN 13 
9786208430511
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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