Start Dominant Language Detection Job
comprehend_start_dominant_language_detection_job | R Documentation |
Starts an asynchronous dominant language detection job for a collection of documents¶
Description¶
Starts an asynchronous dominant language detection job for a collection of documents. Use the operation to track the status of a job.
Usage¶
comprehend_start_dominant_language_detection_job(InputDataConfig,
OutputDataConfig, DataAccessRoleArn, JobName, ClientRequestToken,
VolumeKmsKeyId, VpcConfig, Tags)
Arguments¶
InputDataConfig |
[required] Specifies the format and location of the input data for the job. |
OutputDataConfig |
[required] Specifies where to send the output files. |
DataAccessRoleArn |
[required] 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. |
JobName |
An identifier for the job. |
ClientRequestToken |
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one. |
VolumeKmsKeyId |
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:
|
VpcConfig |
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your dominant language detection job. For more information, see Amazon VPC. |
Tags |
Tags to associate with the dominant language 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. |
Value¶
A list with the following syntax:
list(
JobId = "string",
JobArn = "string",
JobStatus = "SUBMITTED"|"IN_PROGRESS"|"COMPLETED"|"FAILED"|"STOP_REQUESTED"|"STOPPED"
)
Request syntax¶
svc$start_dominant_language_detection_job(
InputDataConfig = list(
S3Uri = "string",
InputFormat = "ONE_DOC_PER_FILE"|"ONE_DOC_PER_LINE",
DocumentReaderConfig = list(
DocumentReadAction = "TEXTRACT_DETECT_DOCUMENT_TEXT"|"TEXTRACT_ANALYZE_DOCUMENT",
DocumentReadMode = "SERVICE_DEFAULT"|"FORCE_DOCUMENT_READ_ACTION",
FeatureTypes = list(
"TABLES"|"FORMS"
)
)
),
OutputDataConfig = list(
S3Uri = "string",
KmsKeyId = "string"
),
DataAccessRoleArn = "string",
JobName = "string",
ClientRequestToken = "string",
VolumeKmsKeyId = "string",
VpcConfig = list(
SecurityGroupIds = list(
"string"
),
Subnets = list(
"string"
)
),
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)