Class: Aws::Comprehend::Types::StartTargetedSentimentDetectionJobRequest

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-comprehend/types.rb

Overview

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#client_request_tokenString

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

**A suitable default value is auto-generated.** You should normally not need to pass this option.

Returns:

  • (String)


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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#data_access_role_arnString

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].

[1]: docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions

Returns:

  • (String)


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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#input_data_configTypes::InputDataConfig

The input properties for an inference job. The document reader config field applies only to non-text inputs for custom analysis.



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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#job_nameString

The identifier of the job.

Returns:

  • (String)


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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#language_codeString

The language of the input documents. Currently, English is the only supported language.

Returns:

  • (String)


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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#output_data_configTypes::OutputDataConfig

Specifies where to send the output files.



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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tagsArray<Types::Tag>

Tags to associate with the targeted 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.

Returns:



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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#volume_kms_key_idString

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”`

Returns:

  • (String)


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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#vpc_configTypes::VpcConfig

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

[1]: docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html

Returns:



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# File 'lib/aws-sdk-comprehend/types.rb', line 7619

class StartTargetedSentimentDetectionJobRequest < Struct.new(
  :input_data_config,
  :output_data_config,
  :data_access_role_arn,
  :job_name,
  :language_code,
  :client_request_token,
  :volume_kms_key_id,
  :vpc_config,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end