comprehend_detect_entities: Inspects text for named entities, and returns information...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Inspects text for named entities, and returns information about them

Description

Inspects text for named entities, and returns information about them. For more information, about named entities, see how-entities.

See https://paws-r.github.io/docs/comprehend/detect_entities.html for full documentation.

Usage

comprehend_detect_entities(Text, LanguageCode = NULL, EndpointArn = NULL)

Arguments

Text	[required] A UTF-8 text string. Each string must contain fewer that 5,000 bytes of UTF-8 encoded characters.
LanguageCode	The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.
EndpointArn	The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend. If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request. For information about endpoints, see Managing endpoints.

paws.machine.learning documentation built on Feb. 16, 2023, 5:24 p.m.