NER Process Overview

The NER process typically involves:

  • Tokenization: Breaking text into individual words or tokens.
  • Feature Extraction: Identifying linguistic features that can help in entity recognition (e.g., capitalization, part-of-speech tags).
  • Entity Classification: Assigning labels (e.g., PERSON, ORG, LOC) to identified entities.

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