Comprehend Topics Detection Job Properties
Comprehend Topics Detection Job Properties in AWS describe the details of a topic modeling job run by Amazon Comprehend. It includes information such as the job name, job status, input and output data configuration, number of topics detected, and timestamps for creation and completion. This resource helps track and manage topic detection jobs that analyze large text datasets to automatically group documents into coherent topics.
aws.comprehend_topics_detection_job
Fields
Title | ID | Type | Data Type | Description |
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| _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 job data. |
| end_time | core | timestamp | The time that the topic detection job was completed. |
| input_data_config | core | json | The input data configuration supplied when you created the topic detection job. |
| job_arn | core | string | The Amazon Resource Name (ARN) of the topics 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>:topics-detection-job/<job-id> The following is an example job ARN: arn:aws:comprehend:us-west-2:111122223333:topics-detection-job/1234abcd12ab34cd56ef1234567890ab |
| job_id | core | string | The identifier assigned to the topic detection job. |
| job_name | core | string | The name of the topic detection job. |
| job_status | core | string | The current status of the topic detection job. If the status is Failed, the reason for the failure is shown in the Message field. |
| message | core | string | A description for the status of a job. |
| number_of_topics | core | int64 | The number of topics to detect supplied when you created the topic detection job. The default is 10. |
| output_data_config | core | json | The output data configuration supplied when you created the topic detection job. |
| submit_time | core | timestamp | The time that the topic detection job was submitted for processing. |
| tags | core | hstore | |
| volume_kms_key_id | core | 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" |
| vpc_config | core | json | Configuration parameters for a private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC. |