Machine Learning and Deep Learning in Natural Language Processing

List of contents

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.

Summary

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.

Product details

• Authors: Anitha S. Tedesco Pillai
• Assisted by: Anitha S. Pillai (Editor), Roberto Tedesco (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 18.10.2023
• EAN: 9781032264639
• ISBN: 978-1-0-3226463-9
• No. of pages: 228
• Subjects: Humanities, art, music > Linguistics and literary studies > General and comparative linguistics; Robotics, COMPUTERS / Computer Science, TECHNOLOGY & ENGINEERING / Robotics, COMPUTERS / Programming / Games, TECHNOLOGY & ENGINEERING / Social Aspects, Human-Computer Interaction, Electrical Engineering, Ethical & social aspects of IT, Engineering: general, Legal aspects of IT, Human–computer interaction, Computational Linguistics, COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Data Science / General, COMPUTERS / Data Science / Neural Networks, Computational and corpus linguistics, Digital and information technologies: Legal aspects, Ergonomics, Neural networks and fuzzy systems, Neural networks & fuzzy systems