Natural Language Processing: Techniques and Applications in Modern AI Systems

Abstract

This article explores Natural Language Processing (NLP) and its transformative impact on human-computer interaction. The article examines the fundamental concepts of NLP, including tokenization, part-of-speech tagging, semantic analysis, and sentiment detection, while highlighting their practical applications in virtual assistants, machine translation, and content recommendation systems. It discusses the technological advancements in NLP, from basic language processing to sophisticated AI applications, emphasizing how these developments have revolutionized various industries. The article also provides insights into GenAI foundation models, future trends, emerging applications, and career opportunities in the field, making it an essential resource for both newcomers and professionals interested in understanding the evolving landscape of NLP technology.