Natural Language Processing in Artificial Intelligence

Auteur

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.

Raghvendra Kumar, PhD, is an Associate Professor in the Computer Science and Engineering

Department at GIET University, India. He was formerly associated with the Lakshmi Narain

College of Technology, Jabalpur, Madhya Pradesh, 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 and the book series Biomedical Engineering:

Techniques and Applications. He has published a number of research papers in international

journals and has served in many roles for international and national conferences.

Résumé
Natural Language Processing in Artificial Intelligence, focuses on natural language processing, artificial intelligence, 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.

Contenu

1. A Survey on Social Business Intelligence: A Case Study of Applications of Dynamic Social Networks for Decision Making 2. Critical Concepts and Techniques for Information Retrieval Systems 3. Futurity of Translation Algorithms for Neural Machine Translation (NMT) and Its Vision 4. Role of Machine Learning and Application toward Information Retrieval in Clouds 5. Ontology-Based Information Retrieval and Matching in IoT Applications 6. Parts-of-Speech Tagging in NLP: Utility, Types, and Some Popular PoS Taggers 7. Text Mining 8. A Brief Overview of Natural Language Processing and Artificial Intelligence 9. Use of Machine Learning and a Natural Language Processing Approach for Detecting Phishing Attacks 10. Role of Computational Intelligence in Natural Language Processing