Named Entity Recognition (NER) For Classifying Text

Named Entity Recognition Model

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

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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Named Entity Recognition Model

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

Information

Supported Named Entities:

Request and Response

Endless possibilities with Computer Vision and AI

Text embedding

Image moderation

General

Custom

Demographics

Face detection

Celebrity

Apparel detection

Face embedding

Food

Color

Textures and patterns

Not safe for work

Travel

Wedding

General embedding

Model gallery

Ready to get started?

Whether you are a start-up or a Fortune 500, we would love to chat about our products and make a personalised plan that fits your business.

Already a customer?

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