Start Sentiment Detection Job
comprehend_start_sentiment_detection_job | R Documentation |
Starts an asynchronous sentiment detection job for a collection of documents¶
Description¶
Starts an asynchronous sentiment detection job for a collection of documents. Use the operation to track the status of a job.
Usage¶
comprehend_start_sentiment_detection_job(InputDataConfig,
OutputDataConfig, DataAccessRoleArn, JobName, LanguageCode,
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
The identifier of the job.
LanguageCode
[required] The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.
ClientRequestToken
A unique identifier for the request. If you don't 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:
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"
VpcConfig
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your sentiment detection job. For more information, see Amazon VPC.
Tags
Tags to associate with the 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.
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_sentiment_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",
LanguageCode = "en"|"es"|"fr"|"de"|"it"|"pt"|"ar"|"hi"|"ja"|"ko"|"zh"|"zh-TW",
ClientRequestToken = "string",
VolumeKmsKeyId = "string",
VpcConfig = list(
SecurityGroupIds = list(
"string"
),
Subnets = list(
"string"
)
),
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)