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What is Named Entity Recognition (NER)?

Updated May 17, 2026

Short answer

NER identifies entities like names, organizations, and locations in text.

Deep explanation

NER extracts structured information from unstructured text by labeling tokens as entities such as PERSON, ORG, or LOCATION using ML or deep learning models.

Real-world example

News aggregators extract entities from articles for indexing.

Common mistakes

  • Confusing entity extraction with classification tasks.

Follow-up questions

  • What are common entity types?
  • How does NER handle ambiguity?

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