L. Ashok Kumar - Deep Learning Research Applications for Natural Language Processing

Deep Learning Research Applications for Natural Language Processing

• L. Ashok Kumar
  PSG College of Technology, India
• Dhanaraj Karthika Renuka
  PSG College of Technology, India
• S. Geetha
  Vellore Institute of Technology, India

A volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series Book Series

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Library of Congress Cataloging-in-Publication Data

Names: Kumar, L. Ashok, editor. | Renuka, D. Karthika, 1981- editor. |
Geetha, S., 1979- editor.
Title: Deep learning research applications for natural language processing
/ L. Ashok Kumar, Dhanaraj Karthika Renuka, and S. Geetha, editors.
Description: Hershey, PA : Engineering Science Reference, [2023] | Includes
bibliographical references and index. | Summary: "This book delves into
issues of natural language processing, a subset of artificial
intelligence that enables computers to understand the meaning of human
language using techniques of machine learning and deep learning
algorithms to discern a words' semantic meanings"-- Provided by
publisher.
Identifiers: LCCN 2022027508 (print) | LCCN 2022027509 (ebook) | ISBN
9781668460016 (h/c) | ISBN 9781668460023 (s/c) | ISBN 9781668460030
(ebook)
Subjects: LCSH: Natural language processing (Computer science) | Machine
learning. | Human face recognition (Computer science) | Speech
processing systems.
Classification: LCC QA76.9.N38 D397 2023 (print) | LCC QA76.9.N38 (ebook)
| DDC 006.3/5--dc23/eng/20220805
LC record available at https://lccn.loc.gov/2022027508
LC ebook record available at https://lccn.loc.gov/2022027509

This book is published under the IGI Global book series Advances in Computational Intelligence and Robotics (ACIR) (ISSN: 2327-0411 eISSN: 2327-042X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Computational Intelligence and Robotics (ACIR) Book Series Ivan Giannoccaro (University of Salento, Italy) ISSN: 2327-0411

While intelligence is traditionally a term applied to humans and human cognition, technology has progressed in such a way to allow for the development of intelligent systems able to simulate many human traits. With this new era of simulated and artificial intelligence, much research is needed in order to continue to advance the field and also to evaluate the ethical and societal concerns of the existence of artificial life and machine learning.

The Advances in Computational Intelligence and Robotics (ACIR) Book Series encourages scholarly discourse on all topics pertaining to evolutionary computing, artificial life, computational intelligence, machine learning, and robotics. ACIR presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field.

The Advances in Computational Intelligence and Robotics (ACIR) Book Series(ISSN 2327-0411) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-computational-intelligence-robotics/73674. Postmaster: send all address changes to above address. Copyright 2023 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

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