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

    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. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field.

    NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restore speech, detect Parkinson’s disease, or help psychotherapists.

    This book is intended for a wide audience. Beginners will find useful chapters providing a general introduction to NLP techniques, while experienced professionals will appreciate the chapters about advanced management of emotion, empathy, and non-literal content.




    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



    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.