1st Edition

Machine Learning and Deep Learning in Natural Language Processing

Edited By Anitha S. Pillai, Roberto Tedesco Copyright 2024
244 Pages 25 Color & 12 B/W Illustrations
by CRC Press

244 Pages 25 Color & 12 B/W Illustrations
by CRC Press

244 Pages 25 Color & 12 B/W Illustrations
by CRC Press

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results.... Read more

Preface

Editors

Contributors

Part I Introduction

Chapter 1 Introduction to Machine Learning, Deep Learning, and Natural Language Processing

Anitha S. Pillai and Roberto Tedesco

Part II Overview of Conversational Agents

Chapter 2 Conversational Agents and Chatbots: Current Trends

Alwin Joseph and Naived George Eapen

Chapter 3 Unsupervised Hierarchical Model for Deep Empathetic Conversational Agents

Vincenzo Scotti

Part III Sentiment and Emotions

Chapter 4 EMOTRON: An Expressive Text-to-Speech

Cristian Regna, Licia Sbattella, Vincenzo Scotti, Alexander Sukhov, and Roberto Tedesco

Part IV Fake News and Satire

Chapter 5 Distinguishing Satirical and Fake News

Anna Giovannacci and Mark J. Carman

Chapter 6 Automated Techniques for Identifying Claims and Assisting Fact Checkers

Stefano Agresti and Mark J. Carman

Part V Applications in Healthcare

Chapter 7 Whisper Restoration Combining Real- and Source-Model Filtered Speech for Clinical and Forensic Applications

Francesco Roberto Dani, Sonia Cenceschi, Alice Albanesi, Elisa Colletti, and Alessandro Trivilini

Chapter 8 Analysis of Features for Machine Learning Approaches to Parkinson’s Disease Detection

Claudio Ferrante, Licia Sbattella, Vincenzo Scotti, Bindu Menon, and Anitha S. Pillai

Chapter 9 Conversational Agents, Natural Language Processing, and Machine Learning for Psychotherapy

Licia Sbattella

INDEX

Biography

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.