AWS CLI Command Reference

[ aws . comprehend ]

list-targeted-sentiment-detection-jobs

Description

Gets a list of targeted sentiment detection jobs that you have submitted.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  list-targeted-sentiment-detection-jobs
[--filter <value>]
[--next-token <value>]
[--max-results <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--filter (structure)

Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.

JobName -> (string)

Filters on the name of the job.

JobStatus -> (string)

Filters the list of jobs based on job status. Returns only jobs with the specified status.

SubmitTimeBefore -> (timestamp)

Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted before the specified time. Jobs are returned in ascending order, oldest to newest.

SubmitTimeAfter -> (timestamp)

Filters the list of jobs based on the time that the job was submitted for processing. Returns only jobs submitted after the specified time. Jobs are returned in descending order, newest to oldest.

Shorthand Syntax:

JobName=string,JobStatus=string,SubmitTimeBefore=timestamp,SubmitTimeAfter=timestamp

JSON Syntax:

{
  "JobName": "string",
  "JobStatus": "SUBMITTED"|"IN_PROGRESS"|"COMPLETED"|"FAILED"|"STOP_REQUESTED"|"STOPPED",
  "SubmitTimeBefore": timestamp,
  "SubmitTimeAfter": timestamp
}

--next-token (string)

Identifies the next page of results to return.

--max-results (integer)

The maximum number of results to return in each page. The default is 100.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

TargetedSentimentDetectionJobPropertiesList -> (list)

A list containing the properties of each job that is returned.

(structure)

Provides information about a targeted sentiment detection job.

JobId -> (string)

The identifier assigned to the targeted sentiment detection job.

JobArn -> (string)

The Amazon Resource Name (ARN) of the targeted sentiment detection job. It is a unique, fully qualified identifier for the job. It includes the AWS account, Region, and the job ID. The format of the ARN is as follows:

arn:<partition>:comprehend:<region>:<account-id>:targeted-sentiment-detection-job/<job-id>

The following is an example job ARN:

arn:aws:comprehend:us-west-2:111122223333:targeted-sentiment-detection-job/1234abcd12ab34cd56ef1234567890ab

JobName -> (string)

The name that you assigned to the targeted sentiment detection job.

JobStatus -> (string)

The current status of the targeted sentiment detection job. If the status is FAILED , the Messages field shows the reason for the failure.

Message -> (string)

A description of the status of a job.

SubmitTime -> (timestamp)

The time that the targeted sentiment detection job was submitted for processing.

EndTime -> (timestamp)

The time that the targeted sentiment detection job ended.

InputDataConfig -> (structure)

The input properties for an inference job.

S3Uri -> (string)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix , if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat -> (string)

Specifies how the text in an input file should be processed:

  • ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

  • ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

DocumentReaderConfig -> (structure)

The document reader config field applies only for InputDataConfig of StartEntitiesDetectionJob.

Use DocumentReaderConfig to provide specifications about how you want your inference documents read. Currently it applies for PDF documents in StartEntitiesDetectionJob custom inference.

DocumentReadAction -> (string)

This enum field will start with two values which will apply to PDFs:

  • TEXTRACT_DETECT_DOCUMENT_TEXT - The service calls DetectDocumentText for PDF documents per page.

  • TEXTRACT_ANALYZE_DOCUMENT - The service calls AnalyzeDocument for PDF documents per page.

DocumentReadMode -> (string)

This enum field provides two values:

  • SERVICE_DEFAULT - use service defaults for Document reading. For Digital PDF it would mean using an internal parser instead of Textract APIs

  • FORCE_DOCUMENT_READ_ACTION - Always use specified action for DocumentReadAction, including Digital PDF.

FeatureTypes -> (list)

Specifies how the text in an input file should be processed:

(string)

A list of the types of analyses to perform. This field specifies what feature types need to be extracted from the document where entity recognition is expected.

  • TABLES - Add TABLES to the list to return information about the tables that are detected in the input document.

  • FORMS - Add FORMS to return detected form data.

OutputDataConfig -> (structure)

Provides configuration parameters for the output of inference jobs.

S3Uri -> (string)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz . It is a compressed archive that contains the ouput of the operation.

For a PII entity detection job, the output file is plain text, not a compressed archive. The output file name is the same as the input file, with .out appended at the end.

KmsKeyId -> (string)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one 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"

  • KMS Key Alias: "alias/ExampleAlias"

  • ARN of a KMS Key Alias: "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

LanguageCode -> (string)

The language code of the input documents.

DataAccessRoleArn -> (string)

The Amazon Resource Name (ARN) that gives Amazon Comprehend read access to your input data.

VolumeKmsKeyId -> (string)

ID for the AWS 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 targeted sentiment detection 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 -> (structure)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for the job. For more information, see Amazon VPC .

SecurityGroupIds -> (list)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by “sg-“, for instance: “sg-03b388029b0a285ea”. For more information, see Security Groups for your VPC .

(string)

Subnets -> (list)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by “subnet-“, for instance: “subnet-04ccf456919e69055”. For more information, see VPCs and Subnets .

(string)

NextToken -> (string)

Identifies the next page of results to return.

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