Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This new volume, Natural Language Processing in Artificial Intelligence, focuses on natural language processing (NLP), artificial intelligence (AI), and allied areas, discussing theoretical work and advanced applications, approaches, and techniques for computational models of information and how they are 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 also explores difficult problems and challenges related to partiality, under specification, and context-dependency, which are signature features of information in nature and natural languages.
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.
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
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.
Table of Contents:
1. Natural Language Processing and Artificial Intelligence: A Perspective Towards Current Trends, Challenges, and Applications 2. Artificial Intelligence-Based NLP: Methods, Trends, and Challenges 3. Exploring the Synergy of Machine Learning and Natural Language Processing 4. Navigating the AI Landscape: Architectures and Algorithms for Natural Language Processing 5. Bridging Language Structure and Deep Learning Models: A Comprehensive Exploration of Natural Language Processing 6. Artificial Intelligence Architectures and Algorithms in Natural Language Processing Ecosystems 7. Classification of Real and Fake News Using Machine Learning and Deep Learning Techniques 8. Unleashing the Power of Big Data: Information Retrieval and Text Mining Strategies 9. Reconciliation of Emotional Intelligence with Artificial Intelligence for Augmenting Organizational Effectiveness: A Conceptual Model 10. Innovations in Future Mobility and Intelligent Virtual Assistants: Lensing Machine Learning AI-Based Chatbots for Digital Users 11. FedNLP: Secure and Efficient Federated Learning Using NLP: Architecture, Challenges, and Solutions 12. Large Language Model (LLM)-Based Human-Like Content Creation, Including Articles, Social Media Posts, and Marketing Content 13. LLM-Powered Chatbots and Virtual Assistants for Interactive and Human-Like Interactions 14. TrOCR-Med: Revolutionizing Medical Data Handling with Transformer-Based Handwritten Optical Character Recognition and Extraction 15. Speech Emotion Detection Using Deep Learning
About the Author :
Vikas Khullar, PhD, is currently working as an Associate Professor at the Department of Computer Science and Engineering, Chitkara University, Punjab, India. He has 15 years of experience in research and academia. During his doctorate dissertation, he developed new and unique assistive technologies for neurological disorders with the use of computer vision, machine learning, and deep learning along with IoT and embedded hardware. He has published more than 80 publications, and his major findings are published in reputed and indexed journals with significant impact factors. He has filed 50 design and utility patents to tackle several social and commercial problems. Dr. Khullar has worked on two innovative project grants, one on cyber security and another on vehicular security. He has authored and edited six books at various levels. At present, he is working in the domain of natural language processing, intelligent Internet of Things in society 5.0, assistive technologies for neurological disorders, federated learning, and trusted artificial intelligence. Dr. Khullar completed his PhD in Computer Science and Engineering.
Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India, Aryan continues to make groundbreaking contributions to the industry. Having served as the Research Head at Nijji HealthCare Pvt Ltd, he has demonstrated his expertise in leveraging revolutionary technologies such as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to revolutionize the healthcare landscape. His relentless pursuit of excellence and innovation has earned him recognition as a thought leader in the industry. His dedication to advancing healthcare is evident through his vast body of work. He has authored several influential academic papers on public health and digital health, published in prestigious international journals. His research primarily focuses on integrating IoT and sensor technology for efficient data collection through one-time and ambulatory monitoring. As a testament to his expertise and leadership, he is not only a keynote speaker at numerous international and national conferences but also serves as the Series Editor of a CRC book series and is the editor of several books on biomedical science. His commitment to the advancement of scientific knowledge extends further, as he acts as a guest editor for special issues in renowned journals. Recognized for his significant contributions, he has received prestigious accolades, including the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect and the title of the best project leader at Global Education and Corporate Leadership. Moreover, he holds senior memberships in various international science associations, reflecting his influence and impact in the field. Adding to his accomplishments, Aryan Chaudhary is currently serving as a guest editor for a special issue in the highly-regarded journal, EAI Endorsed Transactions on AI and Robotics, and he has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Additionally, he is a respected professional member of the Association for Computing Machinery (ACM).
Sunil Kumar, PhD, is currently associated with AURO University, Surat, Gujarat, India as an Assistant Professor (Sr. Grade). He is an academician and collaborative researcher with over 16 years of teaching and research experience in computer science and engineering, having several international publications from IEEE Xplore, ACM, Springer Nature, Elsevier, and IGI Global, USA. He is a certified IBM trainer for Python, machine learning, deep learning, and IT network security. He is also a certified Oracle Java Programmer, Ethical Hacker, and AWS Certified Cloud Solution Architect Associate. Dr. Kumar has delivered and conducted many expert talks, guest lectures, and workshops in the field of cyber security, machine learning, and data analytics. He has received best paper awards at many international conferences. He has published two textbooks on artificial intelligence and one on cyber security. He has also guided several undergraduate, postgraduate, and PhD research works. He was granted five national and international patents. He is a reviewer for many international SCI/Scopus-indexed journals and is an active member of CSI and IEEE and a lifetime member of the Institution of Engineers (India).
