Technical
Named Entity Recognition(NER)
Definition
NLP task that identifies and classifies named entities (people, organizations, locations, etc.) in text.In-Depth Explanation
NER extracts structured information from unstructured text. Categories typically include persons, organizations, locations, dates, monetary values, and more. Modern NER systems use transformer models for high accuracy. Applications include information extraction, content tagging, and knowledge graph construction.
Real-World Example
NER identifies "Apple" as an organization and "Tim Cook" as a person in a news article about the company.
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