Natural Language Processing in Mental Health Care

Sudesh Yadav, PhD is an Assistant Professor at the Govt. College, Ateli, Indira Gandhi University Meerpur, Rewari, Haryana, India. She has published many research papers in international journals and conferences. Her areas of interest include artificial intelligence, IoT, digital image processing, soft computing, and pattern recognition. Pethuru Raj, PhD is the chief architect in the Edge AI Division of Reliance Jio Platforms Ltd., Bangalore, India. He has published more than thirty research papers in peer-reviewed journals, authored and edited 42 books, and contributed more than 60 book chapters. He focuses on emerging technologies such as the Internet of Things, artificial intelligence model optimization, big and streaming data analytics, blockchain, and digital twins. Satya Prakash Yadav, PhD is an Associate Professor in the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India, with more than 17 years of experience. He has published four books, two patents, and many research papers in international journals and conferences. His research interests include image processing, information retrieval, feature extraction and digital image processing. Victor Hugo C. de Albuquerque, PhD is a Professor and Senior Researcher in the Department of Teleinformatics Engineering, Federal University of Ceará, Brazil. He serves as an editor and lead reviewer of several international journals. His interests include pattern recognition, artificial intelligence, image processing and analysis, and automation.

• Preface xvPart 1: Foundations of NLP in Mental Health 11 Introduction to NLP in Mental Health 3Anandaraj S.P., Rakesh Mohanty, Trapty Agarwal, Taskeen Zaidi and Pratyashi Satapathy2 Mental Health Issues, Concerns, and Solutions 15Y. Narasimha Raja, Suvendu Narayan Mishra, Shweta Bajaj and M. N. Nachappa3 AI Technologies, Tools, and Industrial Use Cases 27Kalpana K. Harish, Sasanka Choudhury, Awakash Mishra and Haripriya V.4 NLP Techniques, Tools, and Use Cases of Speech Tagging 39Kuppala Saritha, Prabhat Kumar Sahu, Trapty Agarwal and Ganesh D.Part 2: AI and Machine Learning for Behavioral Understanding 535 Classification and Regression Algorithms in Behavioral NLP 55Selvaraj Poornima, Manoranjan Parhi, Smita Mishra and Raghavendra R.6 Deep Learning Algorithms for Behavioral Understanding of Mental Health 69Balamurugan S., M. Chandra Sekhar, Jitendriya Biswal, Savita and Sarbeswar Hota7 Mental Health Detection Using Natural Language Processing 85Murugan R., Syed Siraj Ahmed, Snehanshu Dey, Shweta Bajaj and Bichitrananda Patra8 Behavioral Signal Processing 103Rengarajan A., Raghavendra T. S., Praveen Priyaranjan Nayak and Trapty Agarwal9 Prediction of Suicidal Thoughts and Pychiatric Symptoms 119Manju Bargavi S. K., Y. Narasimha Raja, Surjeet Sahoo and Trapty AgarwalPart 3: Advanced Methods and Evaluation Techniques 13510 Evaluation of Model Performance—Confusion Matrices, Sensitivity, Specificity, Kappa Statistics, Precision, Recall F-Measure, ROC Curve, Etc. 137Kamalraj R., Akkamahadevi C., Duryodhan Jena and Aditya Yadav11 Methods of Pruning and Tagging 151Awakash Mishra, Gobi N., Pallavi M. and Avinash Samantra12 Social Media for Depression Detection in Mental Health 165Smita Mishra, Febin Prakash, Rosan Basha and Chinmaya Kumar Mohapatra13 Creation of Cognitive Behavioral Chatbots for Mental Health 181Monika Joshi, Pushpa J., Sharon M. and Manoranjan DashPart 4: Future Directions in Behavioral NLP 19514 The Future of Behavioral Natural Language Processing in Healthcare 197Monika Joshi, Nanthini K., Devi S. and Biswaranjan Swain15 Medical Graph RAG: Toward Safe Medical Large Language Model via Graph Retrieval-Augmented Generation 215Trapty Agarwal, Ramkumar Krishnamoorthy, Praveena K. N., Adya Kinkar Panda and Ayasa Kanta Mohanty16 Real-Time Cognitive Load Prediction in Digital Environments 233Monika Joshi, Pushpa J., Sharon M. and Manoranjan Dash17 NLP-Based Gamification Approaches for Personalized Mental Wellness Support 251Samir Sahu, Trapty Agarwal, Sanjeev Kumar Mandal, Deepthi S. and Tapasmini Sahoo18 Context-Aware NLP for Early Detection of Cognitive and Emotional Distress 269Chandan Das, Awakash Mishra, Preethi D. and Mohammed Mujeerulla19 Deep Learning Techniques for Analyzing Mood Variability in Patients 285Pritam Keshari Sahoo, Awakash Mishra, Suneetha K., Smitha S. P. and Laxmidhar Maharana20 Text-Based Cognitive Bias Identification for Assessing Negative Thinking Patterns 303Jyoti Ranjan Das, Savita, Kannagi Anbazhagan and Sridevi S.References 316Index 319