Machine Learning and Deep Learning in Natural Language Processing (eBook, ePUB)

Redaktion: Pillai, Anitha S.; Tedesco, Roberto

• Format: ePub

Produktbeschreibung

This book aims at providing a review of current Neural Network techniques in the NLP. The book is intended for a wide audience: beginners will find chapters providing a general introduction to the NLP techniques useful; experienced professionals would appreciate the chapters about advanced management of emotion etc.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 244
• Erscheinungstermin: 18. Oktober 2023
• Englisch
• ISBN-13: 9781000960891
• Artikelnr.: 68687487

Autorenporträt

Anitha S. Pillai is a Professor in the School of Computing Sciences, Hindustan Institute of Technology and Science, India. She obtained a Ph. D. in the area of Natural Language Processing and has 3 decades of teaching and research experience. She has authored / co-authored several papers in national and international conferences/ journals. She is also the Co-founder of AtINeu - Artificial Intelligence in Neurology focusing on the applications of AI in neurological disorders. Roberto Tedesco earned a Ph. D. in Computer Science, in 2006 at Politecnico di Milano (Italy), where he was contract professor for the Natural Language Processing (NLP) and the Accessibility courses. He is now researcher at the Scuola universitaria professionale della Svizzera italiana (SUPSI), in Lugano (Switzerland). His research interests are NLP, assistive technologies, and HCI.

Inhaltsangabe

Preface. Editors. Contributors. Part I Introduction. Chapter 1 Introduction
to Machine Learning, Deep Learning, and Natural Language Processing. Part
II Overview of Conversational Agents. Chapter 2 Conversational Agents and
Chatbots: Current Trends. Chapter 3 Unsupervised Hierarchical Model for
Deep Empathetic Conversational Agents. Part III Sentiment and Emotions.
Chapter 4 EMOTRON: An Expressive Text-to-Speech. Part IV Fake News and
Satire. Chapter 5 Distinguishing Satirical and Fake News. Chapter 6
Automated Techniques for Identifying Claims and Assisting Fact Checkers.
Part V Applications in Healthcare. Chapter 7 Whisper Restoration Combining
Real- and Source-Model Filtered Speech for Clinical and Forensic
Applications. Chapter 8 Analysis of Features for Machine Learning
Approaches to Parkinson's Disease Detection. Chapter 9 Conversational
Agents, Natural Language Processing, and Machine Learning for
Psychotherapy. INDEX.