UNDERSTANDING NATURAL LANGUAGE PROCESSING (NLP) TECHNIQUES

Abstract

Natural Language Processing (NLP) is a rapidly evolving field at the intersection of artificial intelligence, linguistics, and cognitive psychology. This article provides a comprehensive overview of NLP, exploring its core techniques, wide-ranging applications, and future directions. We delve into key NLP methods such as sentiment analysis, language generation, and named entity recognition, examining their underlying mechanisms and diverse applications. The impact of NLP across various sectors, including virtual assistants, translation services, healthcare, finance, and education, is thoroughly discussed. Despite significant advancements, NLP faces challenges in handling language ambiguity, multilingual processing, and ethical considerations. Looking ahead, the field is poised for further innovation in model efficiency, interpretability, multimodal integration, and commonsense reasoning. This review underscores NLP's transformative potential in reshaping human-computer interaction and information processing in the digital age.