Evaluating the Impact of NLP on Information Retrieval Systems

Abstract

This paper evaluates the impact of Natural Language Processing (NLP) on information retrieval systems, examining how advancements in NLP technologies enhance the accuracy, efficiency, and user experience of these systems. With the increasing volume of data generated daily, traditional retrieval methods often struggle to deliver relevant results. By integrating NLP techniques, such as tokenization, semantic analysis, and machine learning algorithms, information retrieval systems can better understand user queries and the context of the data.