Named Entity Recognition (NER)

Named Entity Recognition (NER) is a natural language processing technique that identifies and classifies key information in text into predefined categories, such as names of people, organizations, locations, dates, and other specific entities. It enables computers to understand and extract meaningful data from unstructured text, making it easier to analyze, organize, and search relevant information. For example, in a news article, NER can pinpoint all the person names, places, and dates mentioned, helping automate tasks like data entry, information retrieval, and content analysis efficiently.