Mean Menu style requires jQuery library version 1.7 or higher, but you have opted to provide your own library. Please ensure you have the proper version of jQuery included. (note: this is not an error)
Natural Language Processing in Artificial Intelligence (Hardcover)
Backordered. Place an order and we will let you know when to expect your book. (This book cannot be returned.)
Description
This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages.
Key features:
Addresses the functional frameworks and workflow that are trending in NLP and AI
Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI
Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world
Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.
About the Author
Brojo Kishore Mishra, PhD, is a Professor in the Computer Science and Engineering Departmentat the Gandhi Institute of Engineering and Technology University (GIET), Gunupur, Odisha, India.He has published more than 30 research papers in national and international conferenceproceedings, over 25 research papers in peer-reviewed journals, and over 20 book chapters, andhas authored two books and edited three books to date. His research interests include datamining and big data analysis, machine learning, soft computing, and evolutionary computation.Raghvendra Kumar, PhD, is an Associate Professor in the Computer Science and EngineeringDepartment at GIET University, India. He was formerly associated with the Lakshmi NarainCollege of Technology, Jabalpur, Madhya Pradesh, India. He also serves as Director of the IT andData Science Department at the Vietnam Center of Research in Economics, Management, Environment, Hanoi, Vietnam. Dr. Kumar serves as editor of the book series Internet ofEverything: Security and Privacy Paradigm and the book series Biomedical Engineering: Techniques and Applications. He has published a number of research papers in internationaljournals and has served in many roles for international and national conferences.
