Machine Learning and Deep Learning in Natural Language Processing
Language: English
Published by CRC Press, 2023
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Seller Inventory # 9781032264639
- Title
- Machine Learning and Deep Learning in Natural Language Processing
- Author
- Anitha S. Pillai
- Publisher
- CRC Press
- Publication year
- 2023
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1032264632
- ISBN 13
- 9781032264639
- Item weight
- 537 grams
- Dimensions
- 240x161x18 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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