Automatically identify and classify named entities in text including people, organizations, locations, dates, and more using advanced NLP algorithms.
Text with highlighted named entities. Hover over entities for details.
Named Entity Recognition identifies and classifies named entities in text into predefined categories like person names, organizations, locations, dates, and other important information.
Information extraction, question answering, content analysis, data mining, knowledge graph construction, and automated content categorization.
Common entity types include PERSON (names), ORG (organizations), GPE (locations), DATE/TIME, MONEY, PERCENT, and specialized types like EMAIL, PHONE, URL.
Rule-based pattern matching, statistical models, machine learning approaches, and modern transformer-based models like BERT and spaCy's neural networks.