Named Entity Recognition

Named Entity Recognition (NER) is a subtask of Natural Language Processing (NLP) that focuses on identifying and classifying key entities within text. These entities can include names of people, organizations, locations, dates, and other specific terms. NER systems typically use machine learning algorithms to analyze text and categorize entities into predefined classes. Common use cases for NER include information extraction, content classification, and improving search engine results by enabling better understanding of user queries.