Comprehend Targeted Sentiment Detection Job Properties

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Comprehend Targeted Sentiment Detection Job Properties in AWS describe the details of a sentiment analysis job that identifies opinions and emotions directed at specific entities within text. It includes information such as job status, input and output data configuration, language code, job name, and timestamps. This resource helps track and manage targeted sentiment detection jobs, enabling users to analyze customer feedback, reviews, or documents with more granular insights than general sentiment analysis.

aws.comprehend_targeted_sentiment_detection_job

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
data_access_role_arn	core	string	The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
end_time	core	timestamp	The time that the targeted sentiment detection job ended.
input_data_config	core	json	The input properties for an inference job. The document reader config field applies only to non-text inputs for custom analysis.
job_arn	core	string	The Amazon Resource Name (ARN) of the targeted sentiment detection job. It is a unique, fully qualified identifier for the job. It includes the Amazon Web Services account, Amazon Web Services Region, and the job ID. The format of the ARN is as follows: arn:<partition>:comprehend:<region>:<account-id>:targeted-sentiment-detection-job/<job-id> The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab
job_id	core	string	The identifier assigned to the targeted sentiment detection job.
job_name	core	string	The name that you assigned to the targeted sentiment detection job.
job_status	core	string	The current status of the targeted sentiment detection job. If the status is FAILED, the Messages field shows the reason for the failure.
language_code	core	string	The language code of the input documents.
message	core	string	A description of the status of a job.
output_data_config	core	json	Provides configuration parameters for the output of inference jobs.
submit_time	core	timestamp	The time that the targeted sentiment detection job was submitted for processing.
tags	core	hstore
volume_kms_key_id	core	string	ID for the KMS key that Amazon Comprehend uses to encrypt the data on the storage volume attached to the ML compute instance(s) that process the targeted sentiment detection 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	core	json	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.