A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. Each document should contain at least 20 characters. The maximum size of each document is 5 KB.

The response's http status code.

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.

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.

The response's http status code.

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.

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.

The response's http status code.

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.

Amazon Comprehend performs real-time sentiment analysis on the first 500 characters of the input text and ignores any additional text in the input.

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.

The response's http status code.

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size for each document is 5 KB.

The language of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German ("de"), English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), or Portuguese ("pt"). All documents must be in the same language.

The response's http status code.

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

A list containing one object for each document that contained an error. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If there are no errors in the batch, the ErrorList is empty.

A list containing the UTF-8 encoded text of the input documents. The list can contain a maximum of 25 documents. The maximum size of each document is 5 KB.

The language of the input documents. Currently, English is the only supported language.

The response's http status code.

A list of objects containing the results of the operation. The results are sorted in ascending order by the Index field and match the order of the documents in the input list. If all of the documents contain an error, the ResultList is empty.

List of errors that the operation can return.

Use the Bytes parameter to input a text, PDF, Word or image file. You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to classify documents, the SDK may encode the document file bytes for you.

The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

If you use the Bytes parameter, do not use the Text parameter.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

The document text to be analyzed. If you enter text using this parameter, do not use the Bytes parameter.

The Amazon Resource Number (ARN) of the endpoint. For information about endpoints, see Managing endpoints.

The classes used by the document being analyzed. These are used for multi-class trained models. Individual classes are mutually exclusive and each document is expected to have only a single class assigned to it. For example, an animal can be a dog or a cat, but not both at the same time.

Extraction information about the document. This field is present in the response only if your request includes the Byte parameter.

The document type for each page in the input document. This field is present in the response only if your request includes the Byte parameter.

Page-level errors that the system detected while processing the input document. The field is empty if the system encountered no errors.

The labels used the document being analyzed. These are used for multi-label trained models. Individual labels represent different categories that are related in some manner and are not mutually exclusive. For example, a movie can be just an action movie, or it can be an action movie, a science fiction movie, and a comedy, all at the same time.

The response's http status code.

A UTF-8 text string. The maximum string size is 100 KB.

The language of the input documents. Currently, English is the only valid language.

The labels used in the document being analyzed. Individual labels represent personally identifiable information (PII) entity types.

The response's http status code.

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

Indicates the mode in which the classifier will be trained. The classifier can be trained in multi-class mode, which identifies one and only one class for each document, or multi-label mode, which identifies one or more labels for each document. In multi-label mode, multiple labels for an individual document are separated by a delimiter. The default delimiter between labels is a pipe (|).

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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"

The resource-based policy to attach to your custom document classifier model. You can use this policy to allow another AWS account to import your custom model.

Provide your policy as a JSON body that you enter as a UTF-8 encoded string without line breaks. To provide valid JSON, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

Enables the addition of output results configuration parameters for custom classifier jobs.

Tags to be associated with the document classifier being created. A tag is a key-value pair that adds as a 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.

The version name given to the newly created classifier. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the account/AWS Region.

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 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"

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

The name of the document classifier.

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

Specifies the format and location of the input data for the job.

The language of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German ("de"), English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), or Portuguese ("pt"). All documents must be in the same language.

The Amazon Resource Name (ARN) that identifies the document classifier.

The response's http status code.

An idempotency token provided by the customer. If this token matches a previous endpoint creation request, Amazon Comprehend will not return a ResourceInUseException.

The Amazon Resource Name (ARN) of the AWS identity and Access Management (IAM) role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).

Tags associated with the endpoint being created. A tag is a key-value pair that adds metadata to the endpoint. For example, a tag with "Sales" as the key might be added to an endpoint to indicate its use by the sales department.

This is the descriptive suffix that becomes part of the EndpointArn used for all subsequent requests to this resource.

The Amazon Resource Number (ARN) of the model to which the endpoint will be attached.

The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.

The Amazon Resource Number (ARN) of the endpoint being created.

The response's http status code.

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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"

The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another AWS account to import your custom model.

Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

Tags to be associated with the entity recognizer being created. A tag is a key-value pair that adds as a 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.

The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/ AWS Region.

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 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"

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

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.

You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.

The Amazon Resource Name (ARN) that identifies the entity recognizer.

The response's http status code.

The Amazon Resource Name (ARN) that identifies the document classifier.

The response's http status code.

The Amazon Resource Number (ARN) of the endpoint being deleted.

The response's http status code.

The Amazon Resource Name (ARN) that identifies the entity recognizer.

The response's http status code.

The revision ID of the policy to delete.

The Amazon Resource Name (ARN) of the custom model version that has the policy to delete.

The response's http status code.

The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.

An object that describes the properties associated with the document classification job.

The response's http status code.

The Amazon Resource Name (ARN) that identifies the document classifier. The operation returns this identifier in its response.

An object that contains the properties associated with a document classifier.

The response's http status code.

The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.

An object that contains the properties associated with a dominant language detection job.

The response's http status code.

The Amazon Resource Number (ARN) of the endpoint being described.

Describes information associated with the specific endpoint.

The response's http status code.

The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.

An object that contains the properties associated with an entities detection job.

The response's http status code.

The Amazon Resource Name (ARN) that identifies the entity recognizer.

Describes information associated with an entity recognizer.

The response's http status code.

The identifier of the events detection job.

An object that contains the properties associated with an event detection job.

The response's http status code.

The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.

An object that contains the properties associated with a key phrases detection job.

The response's http status code.

The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.

Undocumented member.

The response's http status code.

The Amazon Resource Name (ARN) of the custom model version that has the resource policy.

The time at which the policy was created.

The time at which the policy was last modified.

The revision ID of the policy. Each time you modify a policy, Amazon Comprehend assigns a new revision ID, and it deletes the prior version of the policy.

The JSON body of the resource-based policy.

The response's http status code.

The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.

An object that contains the properties associated with a sentiment detection job.

The response's http status code.

The identifier that Amazon Comprehend generated for the job. The operation returns this identifier in its response.

An object that contains the properties associated with a targeted sentiment detection job.

The response's http status code.

The identifier assigned by the user to the detection job.

The list of properties for the requested job.

The response's http status code.

A UTF-8 text string. The string must contain at least 20 characters. The maximum string size is 100 KB.

The languages that Amazon Comprehend detected in the input text. For each language, the response returns the RFC 5646 language code and the level of confidence that Amazon Comprehend has in the accuracy of its inference. For more information about RFC 5646, see Tags for Identifying Languages on the IETF Tools web site.

The response's http status code.

This field applies only when you use a custom entity recognition model that was trained with PDF annotations. For other cases, enter your text input in the Text field.

Use the Bytes parameter to input a text, PDF, Word or image file. Using a plain-text file in the Bytes parameter is equivelent to using the Text parameter (the Entities field in the response is identical).

You can also use the Bytes parameter to input an Amazon Textract DetectDocumentText or AnalyzeDocument output file.

Provide the input document as a sequence of base64-encoded bytes. If your code uses an Amazon Web Services SDK to detect entities, the SDK may encode the document file bytes for you.

The maximum length of this field depends on the input document type. For details, see Inputs for real-time custom analysis in the Comprehend Developer Guide.

If you use the Bytes parameter, do not use the Text parameter.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

The Amazon Resource Name of an endpoint that is associated with a custom entity recognition model. Provide an endpoint if you want to detect entities by using your own custom model instead of the default model that is used by Amazon Comprehend.

If you specify an endpoint, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you provide in your request.

For information about endpoints, see Managing endpoints.

The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. If your request includes the endpoint for a custom entity recognition model, Amazon Comprehend uses the language of your custom model, and it ignores any language code that you specify here.

All input documents must be in the same language.

A UTF-8 text string. The maximum string size is 100 KB. If you enter text using this parameter, do not use the Bytes parameter.

Information about each block of text in the input document. Blocks are nested. A page block contains a block for each line of text, which contains a block for each word.

The Block content for a Word input document does not include a Geometry field.

The Block field is not present in the response for plain-text inputs.

Information about the document, discovered during text extraction. This field is present in the response only if your request used the Byte parameter.

The document type for each page in the input document. This field is present in the response only if your request used the Byte parameter.

A collection of entities identified in the input text. For each entity, the response provides the entity text, entity type, where the entity text begins and ends, and the level of confidence that Amazon Comprehend has in the detection.

If your request uses a custom entity recognition model, Amazon Comprehend detects the entities that the model is trained to recognize. Otherwise, it detects the default entity types. For a list of default entity types, see Entities in the Comprehend Developer Guide.

Page-level errors that the system detected while processing the input document. The field is empty if the system encountered no errors.

The response's http status code.

A UTF-8 text string. The string must contain less than 100 KB of UTF-8 encoded characters.

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.

A collection of key phrases that Amazon Comprehend identified in the input text. For each key phrase, the response provides the text of the key phrase, where the key phrase begins and ends, and the level of confidence that Amazon Comprehend has in the accuracy of the detection.

The response's http status code.

A UTF-8 text string. The maximum string size is 100 KB.

The language of the input documents. Currently, English is the only valid language.

A collection of PII entities identified in the input text. For each entity, the response provides the entity type, where the entity text begins and ends, and the level of confidence that Amazon Comprehend has in the detection.

The response's http status code.

A UTF-8 text string. The maximum string size is 5 KB.

Amazon Comprehend performs real-time sentiment analysis on the first 500 characters of the input text and ignores any additional text in the input.

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.

The inferred sentiment that Amazon Comprehend has the highest level of confidence in.

An object that lists the sentiments, and their corresponding confidence levels.

The response's http status code.

A UTF-8 string. The maximum string size is 5 KB.

The language code of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German ("de"), English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), or Portuguese ("pt").

A collection of syntax tokens describing the text. For each token, the response provides the text, the token type, where the text begins and ends, and the level of confidence that Amazon Comprehend has that the token is correct. For a list of token types, see Syntax in the Comprehend Developer Guide.

The response's http status code.

A UTF-8 text string. The maximum string length is 5 KB.

The language of the input documents. Currently, English is the only supported language.

Targeted sentiment analysis for each of the entities identified in the input text.

The response's http status code.

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that allows Amazon Comprehend to use Amazon Key Management Service (KMS) to encrypt or decrypt the custom model.

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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"

The name to assign to the custom model that is created in Amazon Comprehend by this import.

Tags to be associated with the custom model that is created by this import. A tag is a key-value pair that adds as a 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.

The version name given to the custom model that is created by this import. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the account/AWS Region.

The Amazon Resource Name (ARN) of the custom model to import.

The Amazon Resource Name (ARN) of the custom model being imported.

The response's http status code.

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

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

Identifies the next page of results to return.

A list containing the properties of each job returned.

Identifies the next page of results to return.

The response's http status code.

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

Identifies the next page of results to return.

The list of summaries of document classifiers.

Identifies the next page of results to return.

The response's http status code.

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.

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

Identifies the next page of results to return.

A list containing the properties of each job returned.

Identifies the next page of results to return.

The response's http status code.

Filters that 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.

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

Identifies the next page of results to return.

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

Identifies the next page of results to return.

The response's http status code.

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

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

Identifies the next page of results to return.

Displays a list of endpoint properties being retrieved by the service in response to the request.

Identifies the next page of results to return.

The response's http status code.

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.

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

Identifies the next page of results to return.

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

Identifies the next page of results to return.

The response's http status code.

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

Identifies the next page of results to return.

The list entity recognizer summaries.

The list entity recognizer summaries.

The response's http status code.

Filters the list of entities returned. You can filter on Status, SubmitTimeBefore, or SubmitTimeAfter. You can only set one filter at a time.

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

Identifies the next page of results to return.

The list of properties of an entity recognizer.

Identifies the next page of results to return.

The response's http status code.

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.

The maximum number of results to return in each page.

Identifies the next page of results to return.

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

Identifies the next page of results to return.

The response's http status code.

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.

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

Identifies the next page of results to return.

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

Identifies the next page of results to return.

The response's http status code.

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.

The maximum number of results to return in each page.

Identifies the next page of results to return.

Identifies the next page of results to return.

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

The response's http status code.

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.

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

Identifies the next page of results to return.

Identifies the next page of results to return.

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

The response's http status code.

The Amazon Resource Name (ARN) of the given Amazon Comprehend resource you are querying.

The Amazon Resource Name (ARN) of the given Amazon Comprehend resource you are querying.

Tags associated with the Amazon Comprehend resource being queried. A tag is a key-value pair that adds as a 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.

The response's http status code.

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.

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

Identifies the next page of results to return.

Identifies the next page of results to return.

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

The response's http status code.

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

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

Identifies the next page of results to return.

Identifies the next page of results to return.

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

The response's http status code.

The revision ID that Amazon Comprehend assigned to the policy that you are updating. If you are creating a new policy that has no prior version, don't use this parameter. Amazon Comprehend creates the revision ID for you.

The Amazon Resource Name (ARN) of the custom model to attach the policy to.

The JSON resource-based policy to attach to your custom model. Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:

"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"

To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:

'{"attribute": "value", "attribute": ["value"]}'

The revision ID of the policy. Each time you modify a policy, Amazon Comprehend assigns a new revision ID, and it deletes the prior version of the policy.

The response's http status code.