Abstract
This paper provides a comprehensive overview of Natural Language Processing (NLP), a field at the intersection of computer science, artificial intelligence, and linguistics. It explores the core concepts, techniques, and algorithms employed in NLP, covering areas such as text processing, language modeling, machine translation, sentiment analysis, and question answering. The paper also delves into the diverse applications of NLP across various industries, highlighting its transformative impact on how humans interact with technology. Finally, it discusses current challenges and future research directions within the dynamic landscape of NLP.
This paper also addresses the challenges NLP faces, including bias mitigation, contextual understanding, and ethical considerations. As NLP continues to evolve, it paves the way for enhanced human collaboration, breaking language barriers, and redefining creative and educational landscapes.