Natural language processing in artificial intelligence

Author(s)

• Mishra, Brojo Kishore
• Kumar Raghvendra

Bibliographic Information

Natural language processing in artificial intelligence

Brojo Kishore Mishra, Raghvendra Kumar

, Apple Academic Press, 2021

• : hardcover

Note

Includes bibliographical references and index

Description and Table of Contents

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.

Table of Contents

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

by "Nielsen BookData"

• NCID: BC04954554
• ISBN:
  • 9781771888646
• LCCN: 2020016543
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Burlington, ON, Canada ; Palm Bay, Florida,USA
• Pages/Volumes: xviii, 278 p.
• Size: 24 cm
• Classification:
  • LCC : QA76.9
  • DC23 : 006.3/5
• Subject Headings:
  • LCSH : Artificial intelligence -- Data processing
  • LCSH : Natural language processing (Computer science)