StartTargetedSentimentDetectionJobRequest
import type { StartTargetedSentimentDetectionJobRequest } from "https://aws-api.deno.dev/v0.4/services/comprehend.ts?docs=full";
interface StartTargetedSentimentDetectionJobRequest {
ClientRequestToken?: string | null;
DataAccessRoleArn: string;
InputDataConfig: InputDataConfig;
JobName?: string | null;
LanguageCode: LanguageCode;
OutputDataConfig: OutputDataConfig;
Tags?: Tag[] | null;
VolumeKmsKeyId?: string | null;
VpcConfig?: VpcConfig | null;
}§Properties
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ClientRequestToken?: string | null
[src]A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
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DataAccessRoleArn: string
[src]The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.
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InputDataConfig: InputDataConfig
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LanguageCode: LanguageCode
[src]The language of the input documents. Currently, English is the only supported language.
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OutputDataConfig: OutputDataConfig
[src]Specifies where to send the output files.
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VolumeKmsKeyId?: string | null
[src]ID for the 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"