comprehend_start_events_detection_job: Starts an asynchronous event detection job for a collection...
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

comprehend_start_events_detection_job

R Documentation

Starts an asynchronous event detection job for a collection of documents

Description

Starts an asynchronous event detection job for a collection of documents.

See https://www.paws-r-sdk.com/docs/comprehend_start_events_detection_job/ for full documentation.

Usage

comprehend_start_events_detection_job(
  InputDataConfig,
  OutputDataConfig,
  DataAccessRoleArn,
  JobName = NULL,
  LanguageCode,
  ClientRequestToken = NULL,
  TargetEventTypes,
  Tags = NULL
)

Arguments

`InputDataConfig`	[required] Specifies the format and location of the input data for the job.
`OutputDataConfig`	[required] Specifies where to send the output files.
`DataAccessRoleArn`	[required] The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
`JobName`	The identifier of the events detection job.
`LanguageCode`	[required] The language code of the input documents.
`ClientRequestToken`	An unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
`TargetEventTypes`	[required] The types of events to detect in the input documents.
`Tags`	Tags to associate with the events detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.