Named Entity Recognition (NER)

Full Definition

Named Entity Recognition (NER) is a natural language processing technique that identifies mentions of named entities in unstructured text and classifies them into predefined categories such as persons, organizations, locations, dates, medical conditions, medications, and procedures. Search engines and AI systems use NER to extract entity information from web content and build the entity relationships that power knowledge graphs and AI answer generation. For healthcare organizations, NER means that AI systems are actively reading your content and extracting entity information: the names of physicians, the conditions they treat, the procedures they perform, and the locations where they practice. Content that clearly names and contextualizes these entities helps AI systems build accurate representations of your organization in their knowledge models.