Named Entity Recognition
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May 1, 2024
Updated June 18, 2025
22 minute read
A Comprehensive Guide to Named Entity Recognition
Named Entity Recognition, often abbreviated as NER, is a fundamental task in the field of Natural Language Processing (NLP). At its core, NER involves identifying and categorizing key pieces of information—known as "named entities"—within unstructured text. These entities can be anything from names of people, organizations, and locations to dates, monetary values, quantities, and even more specialized terms depending on the domain. Essentially, NER systems read text and tell you not just what words are present, but what those words represent in the real world or a specific context.
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