Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Cheng, Xiaochun; Nanjundan, Preethi; George, Jossy P. Title A name given to the resource Introduction to natural language processing: Exploring techniques, applications, and challenges Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Introduction to Natural Language Processing: Exploring Techniques, Applications, and Challenges;pp.1-153 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105005569120?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005569120?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Cheng X., Swansea University, Bay Campus, Wales, United Kingdom; Nanjundan P., CHRIST University, Pune Lavasa Campus, India; George J.P., CHRIST University, Delhi NCR, India Description An account of the resource This book provides a thorough and comprehensive introduction to natural language processing (NLP), a critical field at the intersection of artificial intelligence and computational linguistics. It explores key techniques such as sentiment analysis, which enables the detection of emotional tone in text, machine translation, facilitating the conversion of text between languages, and named entity recognition (NER), which identifies and classifies entities like names, dates, and locations within text data. The book delves into deep learning advancements, particularly the use of neural networks such as transformers and recurrent models, which have revolutionized NLP applications. Readers will gain insights into how these models drive innovations in areas such as text classification, language generation, and speech recognition. In addition to technical concepts, the book also addresses the ethical considerations surrounding NLP, emphasizing the responsible use of AI technologies to mitigate issues like bias, misinformation, and privacy concerns. Practical case studies and real-world examples are included to illustrate how NLP is applied in various sectors, including healthcare, finance, and customer service. This book is an invaluable resource for students, researchers, and industry professionals seeking to understand the foundational concepts, cutting-edge advancements, and broader implications of NLP, equipping them with the knowledge to innovate and apply these technologies effectively in their respective fields. 2025 River Publishers. All rights reserved. Subject The topic of the resource Deep learning; Machine learning; Machine translation; Named entity recognition; Natural language processing; Sentiment analysis; Text classification Publisher An entity responsible for making the resource available River Publishers Relation A related resource ISBN: 978-877004828-6; 978-877004829-3; Language A language of the resource English Type The nature or genre of the resource Book Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online