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[ aws . comprehend ]



Creates an entity recognizer using submitted files. After your CreateEntityRecognizer request is submitted, you can check job status using the API.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.


--recognizer-name <value>
--data-access-role-arn <value>
[--tags <value>]
--input-data-config <value>
[--client-request-token <value>]
--language-code <value>
[--volume-kms-key-id <value>]
[--vpc-config <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]


--recognizer-name (string)

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.

--data-access-role-arn (string)

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

--tags (list)

Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a 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.

Shorthand Syntax:

Key=string,Value=string ...

JSON Syntax:

    "Key": "string",
    "Value": "string"

--input-data-config (structure)

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.

Shorthand Syntax:


JSON Syntax:

  "EntityTypes": [
      "Type": "string"
  "Documents": {
    "S3Uri": "string"
  "Annotations": {
    "S3Uri": "string"
  "EntityList": {
    "S3Uri": "string"

--client-request-token (string)

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

--language-code (string)

The language of the input documents. All documents must be in the same language. Only English ("en") is currently supported.

Possible values:

  • en
  • es
  • fr
  • de
  • it
  • pt
  • ar
  • hi
  • ja
  • ko
  • zh
  • zh-TW

--volume-kms-key-id (string)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

  • KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"
  • Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

--vpc-config (structure)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom entity recognizer. For more information, see Amazon VPC .

Shorthand Syntax:


JSON Syntax:

  "SecurityGroupIds": ["string", ...],
  "Subnets": ["string", ...]

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.


EntityRecognizerArn -> (string)

The Amazon Resource Name (ARN) that identifies the entity recognizer.