Start Targeted Sentiment Detection Job

comprehend_start_targeted_sentiment_detection_job

R Documentation

Starts an asynchronous targeted sentiment detection job for a collection of documents

Description

Starts an asynchronous targeted sentiment detection job for a collection of documents. Use the describe_targeted_sentiment_detection_job operation to track the status of a job.

Usage

comprehend_start_targeted_sentiment_detection_job(InputDataConfig,
  OutputDataConfig, DataAccessRoleArn, JobName, LanguageCode,
  ClientRequestToken, VolumeKmsKeyId, VpcConfig, Tags)

Arguments

InputDataConfig

[required]

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. Currently, English is the only supported 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 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

Tags

Tags to associate with the targeted 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_targeted_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"
    )
  )
)