interface StartSentimentDetectionJobRequest {
    ClientRequestToken?: string;
    DataAccessRoleArn: undefined | string;
    InputDataConfig: undefined | InputDataConfig;
    JobName?: string;
    LanguageCode: undefined | LanguageCode;
    OutputDataConfig: undefined | OutputDataConfig;
    Tags?: Tag[];
    VolumeKmsKeyId?: string;
    VpcConfig?: VpcConfig;
}

Hierarchy (view full)

Properties

ClientRequestToken?: string

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

DataAccessRoleArn: undefined | string

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.

InputDataConfig: undefined | InputDataConfig

Specifies the format and location of the input data for the job.

JobName?: string

The identifier of the job.

LanguageCode: undefined | 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.

OutputDataConfig: undefined | OutputDataConfig

Specifies where to send the output files.

Tags?: Tag[]

Tags to associate with the sentiment 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.

VolumeKmsKeyId?: string

ID for the Amazon Web Services 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"

VpcConfig?: VpcConfig

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