Language Intelligence: Expanding Frontiers in Natural Language Processing - Couverture rigide

Kumar, Akshi

 
9781394297269: Language Intelligence: Expanding Frontiers in Natural Language Processing

Synopsis

"This book provides an in-depth exploration of the latest advancements in NLP, offering a unique blend of theoretical foundations, practical applications, and future directions. Comprised of 10 chapters, this book starts with an introduction on the history of NLP, discussing the approaches and its transformative impact on business and society before delving into data management and the challenges that arise. The author discusses computational and cognitive approaches in NLP, including how machine learning, memory models, attention mechanisms, and reasoning contribute to the field's advancement, alongside insights into transfer learning and the cutting-edge neuro-symbolic approaches. Practical applications and advanced processing techniques are explored, ranging from affective, psychological, and content analysis to multilingual processing and domain-specific applications in sectors like healthcare, legal, finance, and education, showcasing the versatile and extensive impact of NLP technologies. Aimed at professionals and graduate students, its comprehensive coverage of both fundamental concepts and advanced topics in NLP makes it suitable for readers who have a foundational understanding of computer science, linguistics, and artificial intelligence and are looking to delve deeper into the intricacies of NLP"--

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À propos de l?auteur

Akshi Kumar is a Senior Lecturer and Director for Post-Graduate Research with the Department of Computing at Goldsmiths, University of London, UK. Dr. Kumar earned her PhD in Computer Science & Engineering from the University of Delhi, India, in 2011, and her research interests include sentiment analysis, affective computing, cyber-informatics, psychometric NLP, and more. She has been ranked #8 globally for Sentiment Analysis over the past 5 years by ScholarGPS. Her name has been included in the "Top 2% scientist of the world" list by Stanford University, USA in 2023, 2022 and 2021.

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