Start Lending Analysis
textract_start_lending_analysis | R Documentation |
Starts the classification and analysis of an input document¶
Description¶
Starts the classification and analysis of an input document.
start_lending_analysis
initiates the classification and analysis of a
packet of lending documents. start_lending_analysis
operates on a
document file located in an Amazon S3 bucket.
start_lending_analysis
can analyze text in documents that are in one
of the following formats: JPEG, PNG, TIFF, PDF. Use DocumentLocation
to specify the bucket name and the file name of the document.
start_lending_analysis
returns a job identifier (JobId
) that you use
to get the results of the operation. When the text analysis is finished,
Amazon Textract publishes a completion status to the Amazon Simple
Notification Service (Amazon SNS) topic that you specify in
NotificationChannel
. To get the results of the text analysis
operation, first check that the status value published to the Amazon SNS
topic is SUCCEEDED. If the status is SUCCEEDED you can call either
get_lending_analysis
or get_lending_analysis_summary
and provide the
JobId
to obtain the results of the analysis.
If using OutputConfig
to specify an Amazon S3 bucket, the output will
be contained within the specified prefix in a directory labeled with the
job-id. In the directory there are 3 sub-directories:
-
detailedResponse (contains the GetLendingAnalysis response)
-
summaryResponse (for the GetLendingAnalysisSummary response)
-
splitDocuments (documents split across logical boundaries)
Usage¶
textract_start_lending_analysis(DocumentLocation, ClientRequestToken,
JobTag, NotificationChannel, OutputConfig, KMSKeyId)
Arguments¶
DocumentLocation
[required]
ClientRequestToken
The idempotent token that you use to identify the start request. If you use the same token with multiple
start_lending_analysis
requests, the sameJobId
is returned. UseClientRequestToken
to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.JobTag
An identifier that you specify to be included in the completion notification published to the Amazon SNS topic. For example, you can use
JobTag
to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).NotificationChannel
OutputConfig
KMSKeyId
The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side, using SSE-S3.
Value¶
A list with the following syntax:
Request syntax¶
svc$start_lending_analysis(
DocumentLocation = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
ClientRequestToken = "string",
JobTag = "string",
NotificationChannel = list(
SNSTopicArn = "string",
RoleArn = "string"
),
OutputConfig = list(
S3Bucket = "string",
S3Prefix = "string"
),
KMSKeyId = "string"
)