Electronics and Communications Technology

Natural Language Processing in Artificial Intelligence
Editors: Brojo Kishore Mishra, PhD
Raghvendra Kumar, PhD

Natural Language Processing in Artificial Intelligence

Published. Available now.
Pub Date: November 2020
Hardback Price: see ordering info
Hard ISBN: 9781771888646
E-Book ISBN: 9780367808495
Pages: 296 pp w index
Binding Type: Hardback
Notes: 7 color and 75 b/w illustrations

This volume, Natural Language Processing in Artificial Intelligence, focuses on natural language processing (NLP), artificial intelligence (AI), and allied areas. The book delves into natural language processing, which enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. It discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it 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
  • Explores basic and high level concepts, thus serving as a resource for those in the industry while also helping beginners to understand both basic and advanced aspects
  • 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
Topics include the process of business intelligence and how this platform is used, the concepts of Information retrieval systems, the neural machine translation (NMT) process, the choice of words and text in natural language processing, embedded traffic control and management systems, a technique for generating ontology by adopting the fruit fly optimization algorithm, POS labeling using the Viterbi algorithm, how natural language processing techniques can be used to prevent phishing attacks, and more.

This volume will be a useful and informative resource for faculty, advanced-level students, and professionals in the field of artificial intelligence, natural language processing, and other areas.

CONTENTS:
Preface

1. A Survey on Social Business Intelligence: A Case Study of Applications of Dynamic Social Networks for Decision Making
Subrata Paul, Chandan Koner, and Anirban Mitra

2. Critical Concepts and Techniques for Information Retrieval Systems
Mohd Shahid Husain

3. Futurity of Translation Algorithms for Neural Machine Translation (NMT) and Its Vision
K. Mandal, G. S. Pradeep Ghantasala, Firoz Khan, R. Sathiyaraj, and B. Balamurugan

4. Role of Machine Learning and Application toward Information Retrieval in Clouds
Mishra Sambit Kumar, Mishra Brojo Kishore, and Prasad Suman Sourav

5. Ontology-Based Information Retrieval and Matching in IoT Applications
M. Lawanya Shri, E. Ganga Devi, Balamurugan Balusamy, and Jyotir Moy Chatterjee

6. Parts-of-Speech Tagging in NLP: Utility, Types, and Some Popular PoS Taggers
Soumitra Ghosh and Brojo Kishore Mishra

7. Text Mining
S. Karthikeyan, Jeevanandam Jotheeswaran, B. Balamurugan, and Jyotir Moy Chatterjee

8. A Brief Overview of Natural Language Processing and Artificial Intelligence
Sushree Bibhuprada B. Priyadarshini, Amiya Bhusan Bagjadab, and Brojo Kishore Mishra

9. Use of Machine Learning and a Natural Language Processing Approach for Detecting Phishing Attacks
Chandrakanta Mahanty, Devpriya Panda, and Brojo Kishore Mishra

10. Role of Computational Intelligence in Natural Language Processing
Bishwa Ranjan Das and Brojokishore Mishra

Index


About the Authors / Editors:
Editors: Brojo Kishore Mishra, PhD
Professor, Department of Computer Science and Engineering, GIET University, Gunupur, Odisha, India

Brojo Kishore Mishra, PhD, is a Professor in the Computer Science and Engineering Department at the Gandhi Institute of Engineering and Technology University (GIET), Gunupur, Odisha, India. He has published more than 30 research papers in national and international conference proceedings, over 25 research papers in peer-reviewed journals, and over 20 book chapters, and has authored two books and edited three books to date. His research interests include data mining and big data analysis, machine learning, soft computing, and evolutionary computation. He received his PhD degree in Computer Science from the Berhampur University, Brahmapur, Odisha, India.

Raghvendra Kumar, PhD
Associate Professor, Computer Science & Engineering Department, GIET University, Gunupur, Odisha, India

Raghvendra Kumar, PhD, is an Associate Professor in the Computer Science and Engineering Department at the Gandhi Institute of Engineering and Technology University (GIET), Gunupur, Odisha, India. He also serves as Director of the IT and Data Science Department at the Vietnam Center of Research in Economics, Management, Environment, Hanoi, Vietnam. Dr. Kumar serves as Editor of the book series Internet of Everything: Security and Privacy Paradigm (CRC Press/Taylor & Francis Group) and the book series Biomedical Engineering: Techniques and Applications (Apple Academic Press). He has published a number of research papers in international journals and conferences. He has served in many roles for international and national conferences, including organizing chair for several conferences, volume editor, volume editor, keynote speaker, session chair or co-chair, publicity chair, publication chair, advisory board member, and technical program committee member. He has also served as a guest editor for many special issues of reputed journals. He authored and edited 17 computer science books in field of Internet of Things, data mining, biomedical engineering, big data, robotics, graph theory, and Turing machines. He is the Managing Editor of the International Journal of Machine Learning and Networked Collaborative Engineering. He received a best paper award at the IEEE Conference 2013 and Young Achiever Award–2016 by IEAE Association for his research work in the field of distributed database. His research areas are Computer Science-Cloud Computing, Big Data and Database, Security and Privacy, Multimedia System, Machine Learning, Computational Intelligence, and Image Processing. Dr. Kumar received his BTech in Computer Science and Engineering from SRM University Chennai (Tamil Nadu), India, his MTech in Computer Science and Engineering from KIIT University, Bhubaneswar, (Odisha) India, and his PhD in Computer Science and Engineering from Jodhpur National University, Jodhpur (Rajasthan), India.




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