Comprehend Sentiment Detection Job Properties

Comprehend Sentiment Detection Job Properties in AWS describe the details of a sentiment analysis job run by Amazon Comprehend. It includes information such as the job ID, job status, input and output data configuration, language code, and timestamps for job creation and completion. This resource helps track and manage sentiment detection tasks that analyze text to determine whether the sentiment is positive, negative, neutral, or mixed.

aws.comprehend_sentiment_detection_job

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
data_access_role_arncorestringThe Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
end_timecoretimestampThe time that the sentiment detection job ended.
input_data_configcorejsonThe input data configuration that you supplied when you created the sentiment detection job.
job_arncorestringThe Amazon Resource Name (ARN) of the 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>:sentiment-detection-job/<job-id> The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab
job_idcorestringThe identifier assigned to the sentiment detection job.
job_namecorestringThe name that you assigned to the sentiment detection job
job_statuscorestringThe current status of the sentiment detection job. If the status is FAILED, the Messages field shows the reason for the failure.
language_codecorestringThe language code of the input documents.
messagecorestringA description of the status of a job.
output_data_configcorejsonThe output data configuration that you supplied when you created the sentiment detection job.
submit_timecoretimestampThe time that the sentiment detection job was submitted for processing.
tagscorehstore
volume_kms_key_idcorestringID 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"
vpc_configcorejsonConfiguration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your sentiment detection job. For more information, see Amazon VPC.