• Named Entity Recognition Model

    Use the power of Named Entity Recognition (NER) when analyzing text passages.

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  • Information

    Model ID: 3a4dd3157b18d37f3402cdaca8091ddd

    Model Name: ner_english

    Model Type ID: text-token-classifier

    Owner: Clarifai

  • Supported Named Entities:

    I-LOC (Location)

    I-ORG (Organisation)

    I-PER (Person's name)

    I-MISC (Miscellaneous entity)

Request and Response

The Text Token Classifier Model is a "text-token-classifier" which means that will take machine-encoded text as an input and then classify chunks of this text (usually individual words) into pre-defined concepts called "named entities". These named entities help you quickly extract meaningful information from text passages. 


Learn more about incorporating the Text Token Classifier Model into your technology stack in our API Guide.

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