Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

Natural Language Processing (NLP) represents a dynamic field of Artificial Intelligence (AI) that bridges the gap between human communication and machine interpretation. This paper provides a comprehensive exploration of the evolution, methodologies, and applications of NLP, with an emphasis on sentiment analysis, machine translation, and question-answering systems. It discusses the transition from traditional rule-based and statistical models to neural network-based architectures and the recent emergence of large language models (LLMs). The research further examines the social and ethical implications of LLMs in real-world applications and their transformative impact across industries. With practical illustrations, original figures, and comparative tables, the paper offers a deep dive into the capabilities, limitations, and future trajectory of NLP technologies.

Keywords: Natural Language Processing, Sentiment Analysis, Machine Translation, Question Answering, Large Language Models, Transformer Models, BERT, GPT, Neural Networks, NLP Applications