Named Entities
Named entities are specific objects, people, places, organizations, and other items that are referred to by name in text. In natural language processing, named entity recognition (NER) is the task of identifying and classifying these entities in unstructured text data. NER is an important step in many NLP applications, such as information extraction, question answering, and machine translation. Named entities can be categorized into different types, such as person, location, organization, date, time, and others. NER systems use various techniques, such as rule-based methods, statistical models, and deep learning algorithms, to identify and classify named entities in text data.
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