The rapid advancement of technology in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and generative AI, presents a challenge for academic scholars to remain informed with the most current information and with the latest techniques and applications. The lack of comprehensive resources also hinders researchers’ ability to gain a deep understanding of these subjects and effectively implement these technologies. Advanced Applications of Generative AI and Natural Language Processing Models is a comprehensive resource which offers an effective solution by investigating cutting-edge developments in NLP and generative AI. It provides insights into how these technologies function, their benefits, and the associated challenges.

This book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI for students, researchers, and professionals in AI, NLP, and computer science. It uses real-world examples and practical applications to empower scholars to apply their knowledge and solve complex problems.

Advanced Applications of Generative AI and Natural Language Processing Models is a complete guide that equips researchers with the knowledge needed to utilize NLP and generative AI, including deep learning for NLP, generative models for text generation, language modeling and sentiment analysis, machine translation and multilingual models, ethical considerations in NLP, conversational AI applications, and case studies and real-world applications.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Deep Learning
Ethical Considerations
Generative AI
Language Modeling
Machine Translation
Natural Language Processing
Neural Networks
Pre-Training
Sentiment Analysis
Text Generation
Transformers
Unsupervised Learning
Use Cases
Voice Recognition

Reviews & Statements

The chapter titled Social Commerce Recommendation Systems: Leveraging User Behavior & Preferences. This chapter delves into the intricate relationship between recommender systems and social commerce, navigating algorithm selection, user acceptance dynamics, and evolving evaluation criteria. Recognizing recommender systems as quasi-social actors, we explore their transformative impact within social networks, employing innovative strategies like hybrid recommendation techniques and social graph analysis. Beyond technicalities, the chapter emphasizes crucial aspects such as data security, privacy concerns, and real-time customization in the context of personalized online shopping experiences. This contribution is a pivotal exploration of the intersection of AI, machine learning, and the dynamic landscape of social commerce.

– Mitali Chugh, UPES

Table of Contents

Search this Book:

Reset

Editor/Author Biographies

Ahmed J. Obaid is a Asst. Professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. Dr. Ahmed holds a Bachelor's in Computer Science, a degree in – Information Systems from the College of Computers, University of Anbar, Iraq (2001-2005), and a Master's Degree (M. TECH) in Computer Science Engineering (CSE) from School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (2010-2013), and a Doctor of Philosophy (Ph.D.) in Web Mining from College of Information Technology, University of Babylon, Iraq (2013-2017). He is a Certified Web Mining Consultant with over 14 years of experience working as a Faculty Member at the University of Kufa, Iraq. He has taught courses in Web Designing, Web Scripting, JavaScript, VB.Net, MATLAB Toolbox, and other courses on PHP, CMC, and DHTML from more than 10 international organizations and institutes in the USA, and India. Dr. Ahmed is a member of the Statistical and Information Consultation Center (SICC), University of Kufa, Iraq. His main line of research is Web mining Techniques and Applications, Image processing in Web Platforms, Image processing, Genetic Algorithm, information theory, and Medical Health Applications. Ahmed J. is an Associated Editor in the Brazilian Journal of Operations & Production Management (BJO&PM) and an Editorial Board member in the International Journal of Advance Study and Research Work (IJASRW), Journal of Research in Engineering and Applied Sciences(JREAS), GRD Journal for Engineering (GRDJE), International Research Journal of Multidisciplinary Science & Technology (IRJMST), The International Journal of Technology Information and Computer (IJTIC), Career Point International Journal Research (CPIJR). Ahmed J. was Editor in Many International Conferences such as: ISCPS_2020, MAICT_2020, IHICPS_2020, IICESAT_2021, IICPS_2020, ICPAS_2021, etc. (Scopus Indexed Conferences). He has edited Some books, such as Advance Material Science and Engineering (ISBN: 9783035736779, Scientific.net publisher), Computational Intelligence Techniques for Combating COVID-19 (ISBN: 978-3-030-68936-0 EAI/Springer), A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems (ISBN: 978-3-030-76653-5 Springer). Ahmed J. has supervised several final projects for Bachelor's and Master's in his main line of work and authored and co-authored several scientific publications in journals, Books, and conferences with more than 75+ Journal Research Articles, 5+ book Chapters, 15+ Conference papers, 10+ Conference proceedings, 8+ Books Editing, 2+ Patent. Ahmed J. is also a Reviewer in many Scopus, SCI, and ESCI Journals e.g., CMC, IETE, IJAACS, IJIPM, IJKBD, IJBSR, IET, IJUFKS, and many others. Dr. Ahmed attended and participate as: Keynote Speakers (60+ Conferences), Webinars (10+), and Session Chairs (10+), in many international events in the following countries: India, Turkey, Nepal, Philippines, Vietnam, Thailand, Indonesia, and other countries.

Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012, received his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (PhD Computer Science and Engineering) in 2021 from Birla Institute of Technology, Mesra, India. He has Published more than 80 research papers in various renowned International conferences and SCI indexed journals. He has contributed with more than 25 book chapters in various books and has edited 11 books from the most famed publishers like Elsevier, IGI Global, and CRC Press. He has served as Keynote Speaker (resource person) numerous reputed international conferences held in different countries including India, Morocco, China, Belgium and Bangladesh. In the past, he worked as an assistant professor at HMR Institute of Technology and Management, New Delhi and Network Engineer in HCL Infosystems Ltd., Noida.

Muthmainnah S, is a lecturer, international speaker and leader, academian and education expert. She is lecturer at Al Asyariah Mandar West Sulawesi, Indonesia. She also is a global keynote speaker, plenary speaker, and resource person.

S. Suman Rajest is currently working as Dean of Research and Development (R&D) & International Student Affairs (ISA) at Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. He is an Editor in Chief of the International Journal of Human Computing Studies and The International Journal of Social Sciences World, He is the Chief Executive Editor of the International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields and The International Journal of Technology Information and Computer and also he is an Editorial Board Member in International Journal of Management in Education, Scopus, Inderscience, EAI Endorsed Transactions on e-Learning, and Bulletin of the Karaganda university Pedagogy series. He is also a Book Series Editor in IGI Global Publisher, Springer, etc. All of his writing, including his research, involves elements of creative nonfiction in the Human Computing learning system. He is also interested in creative writing and digital media, Learning, AI, student health learning, etc. He has published 200 papers in peer-reviewed international journals. He has authored and co-authored several scientific book publications in journals and conferences and is a frequent reviewer of international journals and international conferences and also, he is also a reviewer in Inderscience, EAI Journals, IGI Global, Science Publications, etc.

Abstracting & Indexing

Archiving

All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci^® platform.