Machine Learning and Deep Learning in Natural Language Processing
eBook - ePub

Machine Learning and Deep Learning in Natural Language Processing

Anitha S. Pillai, Roberto Tedesco, Anitha S. Pillai, Roberto Tedesco

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  1. 228 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Machine Learning and Deep Learning in Natural Language Processing

Anitha S. Pillai, Roberto Tedesco, Anitha S. Pillai, Roberto Tedesco

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About This Book

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.

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Yes, you can access Machine Learning and Deep Learning in Natural Language Processing by Anitha S. Pillai, Roberto Tedesco, Anitha S. Pillai, Roberto Tedesco in PDF and/or ePUB format, as well as other popular books in Informatik & Natürliche Sprachverarbeitung. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
ISBN
9781000960891

Table of contents