Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities in text into predefined categories such as person names, organizations, locations, and more. It is a crucial component in natural language processing applications, enhancing the ability of machines to understand and process human language by identifying relevant entities within unstructured data.