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

Goyal, Anita

ISBN 10: 6208430518 / ISBN 13: 9786208430511

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Seller Inventory # 26404172607

Bibliographic Details

• Title: HUMAN OPINION DYNAMICS FOR STRESS DETECTION USING MACHINE LEARNING: Analyzing Psychological Stress through Machine Learning-Based Human Opinion Modeling
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208430518
• ISBN 13: 9786208430511
• Binding: Soft cover
• Condition: New

About this title

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.