ComprehendClient#
Index > Comprehend > ComprehendClient
Auto-generated documentation for Comprehend type annotations stubs module mypy-boto3-comprehend.
ComprehendClient#
Type annotations and code completion for boto3.client("comprehend")
.
boto3 documentation
# ComprehendClient usage example
from boto3.session import Session
from mypy_boto3_comprehend.client import ComprehendClient
def get_comprehend_client() -> ComprehendClient:
return Session().client("comprehend")
Exceptions#
boto3
client exceptions are generated in runtime.
This class provides code completion for boto3.client("comprehend").exceptions
structure.
# Exceptions.exceptions usage example
client = boto3.client("comprehend")
try:
do_something(client)
except (
client.exceptions.BatchSizeLimitExceededException,
client.exceptions.ClientError,
client.exceptions.ConcurrentModificationException,
client.exceptions.InternalServerException,
client.exceptions.InvalidFilterException,
client.exceptions.InvalidRequestException,
client.exceptions.JobNotFoundException,
client.exceptions.KmsKeyValidationException,
client.exceptions.ResourceInUseException,
client.exceptions.ResourceLimitExceededException,
client.exceptions.ResourceNotFoundException,
client.exceptions.ResourceUnavailableException,
client.exceptions.TextSizeLimitExceededException,
client.exceptions.TooManyRequestsException,
client.exceptions.TooManyTagKeysException,
client.exceptions.TooManyTagsException,
client.exceptions.UnsupportedLanguageException,
) as e:
print(e)
# Exceptions.exceptions type checking example
from mypy_boto3_comprehend.client import Exceptions
def handle_error(exc: Exceptions.BatchSizeLimitExceededException) -> None:
...
Methods#
can_paginate#
Type annotations and code completion for boto3.client("comprehend").can_paginate
method.
boto3 documentation
# can_paginate method definition
def can_paginate(
self,
operation_name: str,
) -> bool:
...
generate_presigned_url#
Type annotations and code completion for boto3.client("comprehend").generate_presigned_url
method.
boto3 documentation
# generate_presigned_url method definition
def generate_presigned_url(
self,
ClientMethod: str,
Params: Mapping[str, Any] = ...,
ExpiresIn: int = 3600,
HttpMethod: str = ...,
) -> str:
...
batch_detect_dominant_language#
Determines the dominant language of the input text for a batch of documents.
Type annotations and code completion for boto3.client("comprehend").batch_detect_dominant_language
method.
boto3 documentation
# batch_detect_dominant_language method definition
def batch_detect_dominant_language(
self,
*,
TextList: Sequence[str],
) -> BatchDetectDominantLanguageResponseTypeDef: # (1)
...
# batch_detect_dominant_language method usage example with argument unpacking
kwargs: BatchDetectDominantLanguageRequestRequestTypeDef = { # (1)
"TextList": ...,
}
parent.batch_detect_dominant_language(**kwargs)
batch_detect_entities#
Inspects the text of a batch of documents for named entities and returns information about them.
Type annotations and code completion for boto3.client("comprehend").batch_detect_entities
method.
boto3 documentation
# batch_detect_entities method definition
def batch_detect_entities(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectEntitiesResponseTypeDef: # (2)
...
# batch_detect_entities method usage example with argument unpacking
kwargs: BatchDetectEntitiesRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_entities(**kwargs)
batch_detect_key_phrases#
Detects the key noun phrases found in a batch of documents.
Type annotations and code completion for boto3.client("comprehend").batch_detect_key_phrases
method.
boto3 documentation
# batch_detect_key_phrases method definition
def batch_detect_key_phrases(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectKeyPhrasesResponseTypeDef: # (2)
...
# batch_detect_key_phrases method usage example with argument unpacking
kwargs: BatchDetectKeyPhrasesRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_key_phrases(**kwargs)
batch_detect_sentiment#
Inspects a batch of documents and returns an inference of the prevailing
sentiment, POSITIVE
, NEUTRAL
, MIXED
, or
NEGATIVE
, in each one.
Type annotations and code completion for boto3.client("comprehend").batch_detect_sentiment
method.
boto3 documentation
# batch_detect_sentiment method definition
def batch_detect_sentiment(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectSentimentResponseTypeDef: # (2)
...
# batch_detect_sentiment method usage example with argument unpacking
kwargs: BatchDetectSentimentRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_sentiment(**kwargs)
batch_detect_syntax#
Inspects the text of a batch of documents for the syntax and part of speech of the words in the document and returns information about them.
Type annotations and code completion for boto3.client("comprehend").batch_detect_syntax
method.
boto3 documentation
# batch_detect_syntax method definition
def batch_detect_syntax(
self,
*,
TextList: Sequence[str],
LanguageCode: SyntaxLanguageCodeType, # (1)
) -> BatchDetectSyntaxResponseTypeDef: # (2)
...
# batch_detect_syntax method usage example with argument unpacking
kwargs: BatchDetectSyntaxRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_syntax(**kwargs)
batch_detect_targeted_sentiment#
Inspects a batch of documents and returns a sentiment analysis for each entity identified in the documents.
Type annotations and code completion for boto3.client("comprehend").batch_detect_targeted_sentiment
method.
boto3 documentation
# batch_detect_targeted_sentiment method definition
def batch_detect_targeted_sentiment(
self,
*,
TextList: Sequence[str],
LanguageCode: LanguageCodeType, # (1)
) -> BatchDetectTargetedSentimentResponseTypeDef: # (2)
...
# batch_detect_targeted_sentiment method usage example with argument unpacking
kwargs: BatchDetectTargetedSentimentRequestRequestTypeDef = { # (1)
"TextList": ...,
"LanguageCode": ...,
}
parent.batch_detect_targeted_sentiment(**kwargs)
classify_document#
Creates a classification request to analyze a single document in real-time.
Type annotations and code completion for boto3.client("comprehend").classify_document
method.
boto3 documentation
# classify_document method definition
def classify_document(
self,
*,
EndpointArn: str,
Text: str = ...,
Bytes: BlobTypeDef = ...,
DocumentReaderConfig: DocumentReaderConfigTypeDef = ..., # (1)
) -> ClassifyDocumentResponseTypeDef: # (2)
...
# classify_document method usage example with argument unpacking
kwargs: ClassifyDocumentRequestRequestTypeDef = { # (1)
"EndpointArn": ...,
}
parent.classify_document(**kwargs)
contains_pii_entities#
Analyzes input text for the presence of personally identifiable information (PII) and returns the labels of identified PII entity types such as name, address, bank account number, or phone number.
Type annotations and code completion for boto3.client("comprehend").contains_pii_entities
method.
boto3 documentation
# contains_pii_entities method definition
def contains_pii_entities(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> ContainsPiiEntitiesResponseTypeDef: # (2)
...
# contains_pii_entities method usage example with argument unpacking
kwargs: ContainsPiiEntitiesRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.contains_pii_entities(**kwargs)
create_dataset#
Creates a dataset to upload training or test data for a model associated with a flywheel.
Type annotations and code completion for boto3.client("comprehend").create_dataset
method.
boto3 documentation
# create_dataset method definition
def create_dataset(
self,
*,
FlywheelArn: str,
DatasetName: str,
InputDataConfig: DatasetInputDataConfigTypeDef, # (1)
DatasetType: DatasetTypeType = ..., # (2)
Description: str = ...,
ClientRequestToken: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (3)
) -> CreateDatasetResponseTypeDef: # (4)
...
- See DatasetInputDataConfigTypeDef
- See DatasetTypeType
- See TagTypeDef
- See CreateDatasetResponseTypeDef
# create_dataset method usage example with argument unpacking
kwargs: CreateDatasetRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
"DatasetName": ...,
"InputDataConfig": ...,
}
parent.create_dataset(**kwargs)
create_document_classifier#
Creates a new document classifier that you can use to categorize documents.
Type annotations and code completion for boto3.client("comprehend").create_document_classifier
method.
boto3 documentation
# create_document_classifier method definition
def create_document_classifier(
self,
*,
DocumentClassifierName: str,
DataAccessRoleArn: str,
InputDataConfig: DocumentClassifierInputDataConfigTypeDef, # (1)
LanguageCode: LanguageCodeType, # (2)
VersionName: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (3)
OutputDataConfig: DocumentClassifierOutputDataConfigTypeDef = ..., # (4)
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (5)
Mode: DocumentClassifierModeType = ..., # (6)
ModelKmsKeyId: str = ...,
ModelPolicy: str = ...,
) -> CreateDocumentClassifierResponseTypeDef: # (7)
...
- See DocumentClassifierInputDataConfigTypeDef
- See LanguageCodeType
- See TagTypeDef
- See DocumentClassifierOutputDataConfigTypeDef
- See VpcConfigTypeDef
- See DocumentClassifierModeType
- See CreateDocumentClassifierResponseTypeDef
# create_document_classifier method usage example with argument unpacking
kwargs: CreateDocumentClassifierRequestRequestTypeDef = { # (1)
"DocumentClassifierName": ...,
"DataAccessRoleArn": ...,
"InputDataConfig": ...,
"LanguageCode": ...,
}
parent.create_document_classifier(**kwargs)
create_endpoint#
Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see Managing endpoints.
Type annotations and code completion for boto3.client("comprehend").create_endpoint
method.
boto3 documentation
# create_endpoint method definition
def create_endpoint(
self,
*,
EndpointName: str,
DesiredInferenceUnits: int,
ModelArn: str = ...,
ClientRequestToken: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
DataAccessRoleArn: str = ...,
FlywheelArn: str = ...,
) -> CreateEndpointResponseTypeDef: # (2)
...
# create_endpoint method usage example with argument unpacking
kwargs: CreateEndpointRequestRequestTypeDef = { # (1)
"EndpointName": ...,
"DesiredInferenceUnits": ...,
}
parent.create_endpoint(**kwargs)
create_entity_recognizer#
Creates an entity recognizer using submitted files.
Type annotations and code completion for boto3.client("comprehend").create_entity_recognizer
method.
boto3 documentation
# create_entity_recognizer method definition
def create_entity_recognizer(
self,
*,
RecognizerName: str,
DataAccessRoleArn: str,
InputDataConfig: EntityRecognizerInputDataConfigTypeDef, # (1)
LanguageCode: LanguageCodeType, # (2)
VersionName: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (3)
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (4)
ModelKmsKeyId: str = ...,
ModelPolicy: str = ...,
) -> CreateEntityRecognizerResponseTypeDef: # (5)
...
- See EntityRecognizerInputDataConfigTypeDef
- See LanguageCodeType
- See TagTypeDef
- See VpcConfigTypeDef
- See CreateEntityRecognizerResponseTypeDef
# create_entity_recognizer method usage example with argument unpacking
kwargs: CreateEntityRecognizerRequestRequestTypeDef = { # (1)
"RecognizerName": ...,
"DataAccessRoleArn": ...,
"InputDataConfig": ...,
"LanguageCode": ...,
}
parent.create_entity_recognizer(**kwargs)
create_flywheel#
A flywheel is an Amazon Web Services resource that orchestrates the ongoing training of a model for custom classification or custom entity recognition.
Type annotations and code completion for boto3.client("comprehend").create_flywheel
method.
boto3 documentation
# create_flywheel method definition
def create_flywheel(
self,
*,
FlywheelName: str,
DataAccessRoleArn: str,
DataLakeS3Uri: str,
ActiveModelArn: str = ...,
TaskConfig: TaskConfigTypeDef = ..., # (1)
ModelType: ModelTypeType = ..., # (2)
DataSecurityConfig: DataSecurityConfigTypeDef = ..., # (3)
ClientRequestToken: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (4)
) -> CreateFlywheelResponseTypeDef: # (5)
...
- See TaskConfigTypeDef
- See ModelTypeType
- See DataSecurityConfigTypeDef
- See TagTypeDef
- See CreateFlywheelResponseTypeDef
# create_flywheel method usage example with argument unpacking
kwargs: CreateFlywheelRequestRequestTypeDef = { # (1)
"FlywheelName": ...,
"DataAccessRoleArn": ...,
"DataLakeS3Uri": ...,
}
parent.create_flywheel(**kwargs)
delete_document_classifier#
Deletes a previously created document classifier.
Type annotations and code completion for boto3.client("comprehend").delete_document_classifier
method.
boto3 documentation
# delete_document_classifier method definition
def delete_document_classifier(
self,
*,
DocumentClassifierArn: str,
) -> dict[str, Any]:
...
# delete_document_classifier method usage example with argument unpacking
kwargs: DeleteDocumentClassifierRequestRequestTypeDef = { # (1)
"DocumentClassifierArn": ...,
}
parent.delete_document_classifier(**kwargs)
delete_endpoint#
Deletes a model-specific endpoint for a previously-trained custom model.
Type annotations and code completion for boto3.client("comprehend").delete_endpoint
method.
boto3 documentation
# delete_endpoint method definition
def delete_endpoint(
self,
*,
EndpointArn: str,
) -> dict[str, Any]:
...
# delete_endpoint method usage example with argument unpacking
kwargs: DeleteEndpointRequestRequestTypeDef = { # (1)
"EndpointArn": ...,
}
parent.delete_endpoint(**kwargs)
delete_entity_recognizer#
Deletes an entity recognizer.
Type annotations and code completion for boto3.client("comprehend").delete_entity_recognizer
method.
boto3 documentation
# delete_entity_recognizer method definition
def delete_entity_recognizer(
self,
*,
EntityRecognizerArn: str,
) -> dict[str, Any]:
...
# delete_entity_recognizer method usage example with argument unpacking
kwargs: DeleteEntityRecognizerRequestRequestTypeDef = { # (1)
"EntityRecognizerArn": ...,
}
parent.delete_entity_recognizer(**kwargs)
delete_flywheel#
Deletes a flywheel.
Type annotations and code completion for boto3.client("comprehend").delete_flywheel
method.
boto3 documentation
# delete_flywheel method definition
def delete_flywheel(
self,
*,
FlywheelArn: str,
) -> dict[str, Any]:
...
# delete_flywheel method usage example with argument unpacking
kwargs: DeleteFlywheelRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
}
parent.delete_flywheel(**kwargs)
delete_resource_policy#
Deletes a resource-based policy that is attached to a custom model.
Type annotations and code completion for boto3.client("comprehend").delete_resource_policy
method.
boto3 documentation
# delete_resource_policy method definition
def delete_resource_policy(
self,
*,
ResourceArn: str,
PolicyRevisionId: str = ...,
) -> dict[str, Any]:
...
# delete_resource_policy method usage example with argument unpacking
kwargs: DeleteResourcePolicyRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
}
parent.delete_resource_policy(**kwargs)
describe_dataset#
Returns information about the dataset that you specify.
Type annotations and code completion for boto3.client("comprehend").describe_dataset
method.
boto3 documentation
# describe_dataset method definition
def describe_dataset(
self,
*,
DatasetArn: str,
) -> DescribeDatasetResponseTypeDef: # (1)
...
# describe_dataset method usage example with argument unpacking
kwargs: DescribeDatasetRequestRequestTypeDef = { # (1)
"DatasetArn": ...,
}
parent.describe_dataset(**kwargs)
describe_document_classification_job#
Gets the properties associated with a document classification job.
Type annotations and code completion for boto3.client("comprehend").describe_document_classification_job
method.
boto3 documentation
# describe_document_classification_job method definition
def describe_document_classification_job(
self,
*,
JobId: str,
) -> DescribeDocumentClassificationJobResponseTypeDef: # (1)
...
# describe_document_classification_job method usage example with argument unpacking
kwargs: DescribeDocumentClassificationJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_document_classification_job(**kwargs)
describe_document_classifier#
Gets the properties associated with a document classifier.
Type annotations and code completion for boto3.client("comprehend").describe_document_classifier
method.
boto3 documentation
# describe_document_classifier method definition
def describe_document_classifier(
self,
*,
DocumentClassifierArn: str,
) -> DescribeDocumentClassifierResponseTypeDef: # (1)
...
# describe_document_classifier method usage example with argument unpacking
kwargs: DescribeDocumentClassifierRequestRequestTypeDef = { # (1)
"DocumentClassifierArn": ...,
}
parent.describe_document_classifier(**kwargs)
describe_dominant_language_detection_job#
Gets the properties associated with a dominant language detection job.
Type annotations and code completion for boto3.client("comprehend").describe_dominant_language_detection_job
method.
boto3 documentation
# describe_dominant_language_detection_job method definition
def describe_dominant_language_detection_job(
self,
*,
JobId: str,
) -> DescribeDominantLanguageDetectionJobResponseTypeDef: # (1)
...
# describe_dominant_language_detection_job method usage example with argument unpacking
kwargs: DescribeDominantLanguageDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_dominant_language_detection_job(**kwargs)
describe_endpoint#
Gets the properties associated with a specific endpoint.
Type annotations and code completion for boto3.client("comprehend").describe_endpoint
method.
boto3 documentation
# describe_endpoint method definition
def describe_endpoint(
self,
*,
EndpointArn: str,
) -> DescribeEndpointResponseTypeDef: # (1)
...
# describe_endpoint method usage example with argument unpacking
kwargs: DescribeEndpointRequestRequestTypeDef = { # (1)
"EndpointArn": ...,
}
parent.describe_endpoint(**kwargs)
describe_entities_detection_job#
Gets the properties associated with an entities detection job.
Type annotations and code completion for boto3.client("comprehend").describe_entities_detection_job
method.
boto3 documentation
# describe_entities_detection_job method definition
def describe_entities_detection_job(
self,
*,
JobId: str,
) -> DescribeEntitiesDetectionJobResponseTypeDef: # (1)
...
# describe_entities_detection_job method usage example with argument unpacking
kwargs: DescribeEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_entities_detection_job(**kwargs)
describe_entity_recognizer#
Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on.
Type annotations and code completion for boto3.client("comprehend").describe_entity_recognizer
method.
boto3 documentation
# describe_entity_recognizer method definition
def describe_entity_recognizer(
self,
*,
EntityRecognizerArn: str,
) -> DescribeEntityRecognizerResponseTypeDef: # (1)
...
# describe_entity_recognizer method usage example with argument unpacking
kwargs: DescribeEntityRecognizerRequestRequestTypeDef = { # (1)
"EntityRecognizerArn": ...,
}
parent.describe_entity_recognizer(**kwargs)
describe_events_detection_job#
Gets the status and details of an events detection job.
Type annotations and code completion for boto3.client("comprehend").describe_events_detection_job
method.
boto3 documentation
# describe_events_detection_job method definition
def describe_events_detection_job(
self,
*,
JobId: str,
) -> DescribeEventsDetectionJobResponseTypeDef: # (1)
...
# describe_events_detection_job method usage example with argument unpacking
kwargs: DescribeEventsDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_events_detection_job(**kwargs)
describe_flywheel#
Provides configuration information about the flywheel.
Type annotations and code completion for boto3.client("comprehend").describe_flywheel
method.
boto3 documentation
# describe_flywheel method definition
def describe_flywheel(
self,
*,
FlywheelArn: str,
) -> DescribeFlywheelResponseTypeDef: # (1)
...
# describe_flywheel method usage example with argument unpacking
kwargs: DescribeFlywheelRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
}
parent.describe_flywheel(**kwargs)
describe_flywheel_iteration#
Retrieve the configuration properties of a flywheel iteration.
Type annotations and code completion for boto3.client("comprehend").describe_flywheel_iteration
method.
boto3 documentation
# describe_flywheel_iteration method definition
def describe_flywheel_iteration(
self,
*,
FlywheelArn: str,
FlywheelIterationId: str,
) -> DescribeFlywheelIterationResponseTypeDef: # (1)
...
# describe_flywheel_iteration method usage example with argument unpacking
kwargs: DescribeFlywheelIterationRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
"FlywheelIterationId": ...,
}
parent.describe_flywheel_iteration(**kwargs)
describe_key_phrases_detection_job#
Gets the properties associated with a key phrases detection job.
Type annotations and code completion for boto3.client("comprehend").describe_key_phrases_detection_job
method.
boto3 documentation
# describe_key_phrases_detection_job method definition
def describe_key_phrases_detection_job(
self,
*,
JobId: str,
) -> DescribeKeyPhrasesDetectionJobResponseTypeDef: # (1)
...
# describe_key_phrases_detection_job method usage example with argument unpacking
kwargs: DescribeKeyPhrasesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_key_phrases_detection_job(**kwargs)
describe_pii_entities_detection_job#
Gets the properties associated with a PII entities detection job.
Type annotations and code completion for boto3.client("comprehend").describe_pii_entities_detection_job
method.
boto3 documentation
# describe_pii_entities_detection_job method definition
def describe_pii_entities_detection_job(
self,
*,
JobId: str,
) -> DescribePiiEntitiesDetectionJobResponseTypeDef: # (1)
...
# describe_pii_entities_detection_job method usage example with argument unpacking
kwargs: DescribePiiEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_pii_entities_detection_job(**kwargs)
describe_resource_policy#
Gets the details of a resource-based policy that is attached to a custom model, including the JSON body of the policy.
Type annotations and code completion for boto3.client("comprehend").describe_resource_policy
method.
boto3 documentation
# describe_resource_policy method definition
def describe_resource_policy(
self,
*,
ResourceArn: str,
) -> DescribeResourcePolicyResponseTypeDef: # (1)
...
# describe_resource_policy method usage example with argument unpacking
kwargs: DescribeResourcePolicyRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
}
parent.describe_resource_policy(**kwargs)
describe_sentiment_detection_job#
Gets the properties associated with a sentiment detection job.
Type annotations and code completion for boto3.client("comprehend").describe_sentiment_detection_job
method.
boto3 documentation
# describe_sentiment_detection_job method definition
def describe_sentiment_detection_job(
self,
*,
JobId: str,
) -> DescribeSentimentDetectionJobResponseTypeDef: # (1)
...
# describe_sentiment_detection_job method usage example with argument unpacking
kwargs: DescribeSentimentDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_sentiment_detection_job(**kwargs)
describe_targeted_sentiment_detection_job#
Gets the properties associated with a targeted sentiment detection job.
Type annotations and code completion for boto3.client("comprehend").describe_targeted_sentiment_detection_job
method.
boto3 documentation
# describe_targeted_sentiment_detection_job method definition
def describe_targeted_sentiment_detection_job(
self,
*,
JobId: str,
) -> DescribeTargetedSentimentDetectionJobResponseTypeDef: # (1)
...
# describe_targeted_sentiment_detection_job method usage example with argument unpacking
kwargs: DescribeTargetedSentimentDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_targeted_sentiment_detection_job(**kwargs)
describe_topics_detection_job#
Gets the properties associated with a topic detection job.
Type annotations and code completion for boto3.client("comprehend").describe_topics_detection_job
method.
boto3 documentation
# describe_topics_detection_job method definition
def describe_topics_detection_job(
self,
*,
JobId: str,
) -> DescribeTopicsDetectionJobResponseTypeDef: # (1)
...
# describe_topics_detection_job method usage example with argument unpacking
kwargs: DescribeTopicsDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.describe_topics_detection_job(**kwargs)
detect_dominant_language#
Determines the dominant language of the input text.
Type annotations and code completion for boto3.client("comprehend").detect_dominant_language
method.
boto3 documentation
# detect_dominant_language method definition
def detect_dominant_language(
self,
*,
Text: str,
) -> DetectDominantLanguageResponseTypeDef: # (1)
...
# detect_dominant_language method usage example with argument unpacking
kwargs: DetectDominantLanguageRequestRequestTypeDef = { # (1)
"Text": ...,
}
parent.detect_dominant_language(**kwargs)
detect_entities#
Detects named entities in input text when you use the pre-trained model.
Type annotations and code completion for boto3.client("comprehend").detect_entities
method.
boto3 documentation
# detect_entities method definition
def detect_entities(
self,
*,
Text: str = ...,
LanguageCode: LanguageCodeType = ..., # (1)
EndpointArn: str = ...,
Bytes: BlobTypeDef = ...,
DocumentReaderConfig: DocumentReaderConfigTypeDef = ..., # (2)
) -> DetectEntitiesResponseTypeDef: # (3)
...
# detect_entities method usage example with argument unpacking
kwargs: DetectEntitiesRequestRequestTypeDef = { # (1)
"Text": ...,
}
parent.detect_entities(**kwargs)
detect_key_phrases#
Detects the key noun phrases found in the text.
Type annotations and code completion for boto3.client("comprehend").detect_key_phrases
method.
boto3 documentation
# detect_key_phrases method definition
def detect_key_phrases(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectKeyPhrasesResponseTypeDef: # (2)
...
# detect_key_phrases method usage example with argument unpacking
kwargs: DetectKeyPhrasesRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_key_phrases(**kwargs)
detect_pii_entities#
Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them.
Type annotations and code completion for boto3.client("comprehend").detect_pii_entities
method.
boto3 documentation
# detect_pii_entities method definition
def detect_pii_entities(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectPiiEntitiesResponseTypeDef: # (2)
...
# detect_pii_entities method usage example with argument unpacking
kwargs: DetectPiiEntitiesRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_pii_entities(**kwargs)
detect_sentiment#
Inspects text and returns an inference of the prevailing sentiment
(POSITIVE
, NEUTRAL
, MIXED
, or
NEGATIVE
).
Type annotations and code completion for boto3.client("comprehend").detect_sentiment
method.
boto3 documentation
# detect_sentiment method definition
def detect_sentiment(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectSentimentResponseTypeDef: # (2)
...
# detect_sentiment method usage example with argument unpacking
kwargs: DetectSentimentRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_sentiment(**kwargs)
detect_syntax#
Inspects text for syntax and the part of speech of words in the document.
Type annotations and code completion for boto3.client("comprehend").detect_syntax
method.
boto3 documentation
# detect_syntax method definition
def detect_syntax(
self,
*,
Text: str,
LanguageCode: SyntaxLanguageCodeType, # (1)
) -> DetectSyntaxResponseTypeDef: # (2)
...
# detect_syntax method usage example with argument unpacking
kwargs: DetectSyntaxRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_syntax(**kwargs)
detect_targeted_sentiment#
Inspects the input text and returns a sentiment analysis for each entity identified in the text.
Type annotations and code completion for boto3.client("comprehend").detect_targeted_sentiment
method.
boto3 documentation
# detect_targeted_sentiment method definition
def detect_targeted_sentiment(
self,
*,
Text: str,
LanguageCode: LanguageCodeType, # (1)
) -> DetectTargetedSentimentResponseTypeDef: # (2)
...
# detect_targeted_sentiment method usage example with argument unpacking
kwargs: DetectTargetedSentimentRequestRequestTypeDef = { # (1)
"Text": ...,
"LanguageCode": ...,
}
parent.detect_targeted_sentiment(**kwargs)
detect_toxic_content#
Performs toxicity analysis on the list of text strings that you provide as input.
Type annotations and code completion for boto3.client("comprehend").detect_toxic_content
method.
boto3 documentation
# detect_toxic_content method definition
def detect_toxic_content(
self,
*,
TextSegments: Sequence[TextSegmentTypeDef], # (1)
LanguageCode: LanguageCodeType, # (2)
) -> DetectToxicContentResponseTypeDef: # (3)
...
# detect_toxic_content method usage example with argument unpacking
kwargs: DetectToxicContentRequestRequestTypeDef = { # (1)
"TextSegments": ...,
"LanguageCode": ...,
}
parent.detect_toxic_content(**kwargs)
import_model#
Creates a new custom model that replicates a source custom model that you import.
Type annotations and code completion for boto3.client("comprehend").import_model
method.
boto3 documentation
# import_model method definition
def import_model(
self,
*,
SourceModelArn: str,
ModelName: str = ...,
VersionName: str = ...,
ModelKmsKeyId: str = ...,
DataAccessRoleArn: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (1)
) -> ImportModelResponseTypeDef: # (2)
...
- See TagTypeDef
- See ImportModelResponseTypeDef
# import_model method usage example with argument unpacking
kwargs: ImportModelRequestRequestTypeDef = { # (1)
"SourceModelArn": ...,
}
parent.import_model(**kwargs)
list_datasets#
List the datasets that you have configured in this Region.
Type annotations and code completion for boto3.client("comprehend").list_datasets
method.
boto3 documentation
# list_datasets method definition
def list_datasets(
self,
*,
FlywheelArn: str = ...,
Filter: DatasetFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDatasetsResponseTypeDef: # (2)
...
# list_datasets method usage example with argument unpacking
kwargs: ListDatasetsRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
}
parent.list_datasets(**kwargs)
list_document_classification_jobs#
Gets a list of the documentation classification jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_document_classification_jobs
method.
boto3 documentation
# list_document_classification_jobs method definition
def list_document_classification_jobs(
self,
*,
Filter: DocumentClassificationJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDocumentClassificationJobsResponseTypeDef: # (2)
...
# list_document_classification_jobs method usage example with argument unpacking
kwargs: ListDocumentClassificationJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_document_classification_jobs(**kwargs)
list_document_classifier_summaries#
Gets a list of summaries of the document classifiers that you have created.
Type annotations and code completion for boto3.client("comprehend").list_document_classifier_summaries
method.
boto3 documentation
# list_document_classifier_summaries method definition
def list_document_classifier_summaries(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDocumentClassifierSummariesResponseTypeDef: # (1)
...
# list_document_classifier_summaries method usage example with argument unpacking
kwargs: ListDocumentClassifierSummariesRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_document_classifier_summaries(**kwargs)
list_document_classifiers#
Gets a list of the document classifiers that you have created.
Type annotations and code completion for boto3.client("comprehend").list_document_classifiers
method.
boto3 documentation
# list_document_classifiers method definition
def list_document_classifiers(
self,
*,
Filter: DocumentClassifierFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDocumentClassifiersResponseTypeDef: # (2)
...
# list_document_classifiers method usage example with argument unpacking
kwargs: ListDocumentClassifiersRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_document_classifiers(**kwargs)
list_dominant_language_detection_jobs#
Gets a list of the dominant language detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_dominant_language_detection_jobs
method.
boto3 documentation
# list_dominant_language_detection_jobs method definition
def list_dominant_language_detection_jobs(
self,
*,
Filter: DominantLanguageDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListDominantLanguageDetectionJobsResponseTypeDef: # (2)
...
# list_dominant_language_detection_jobs method usage example with argument unpacking
kwargs: ListDominantLanguageDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_dominant_language_detection_jobs(**kwargs)
list_endpoints#
Gets a list of all existing endpoints that you've created.
Type annotations and code completion for boto3.client("comprehend").list_endpoints
method.
boto3 documentation
# list_endpoints method definition
def list_endpoints(
self,
*,
Filter: EndpointFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListEndpointsResponseTypeDef: # (2)
...
# list_endpoints method usage example with argument unpacking
kwargs: ListEndpointsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_endpoints(**kwargs)
list_entities_detection_jobs#
Gets a list of the entity detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_entities_detection_jobs
method.
boto3 documentation
# list_entities_detection_jobs method definition
def list_entities_detection_jobs(
self,
*,
Filter: EntitiesDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListEntitiesDetectionJobsResponseTypeDef: # (2)
...
# list_entities_detection_jobs method usage example with argument unpacking
kwargs: ListEntitiesDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_entities_detection_jobs(**kwargs)
list_entity_recognizer_summaries#
Gets a list of summaries for the entity recognizers that you have created.
Type annotations and code completion for boto3.client("comprehend").list_entity_recognizer_summaries
method.
boto3 documentation
# list_entity_recognizer_summaries method definition
def list_entity_recognizer_summaries(
self,
*,
NextToken: str = ...,
MaxResults: int = ...,
) -> ListEntityRecognizerSummariesResponseTypeDef: # (1)
...
# list_entity_recognizer_summaries method usage example with argument unpacking
kwargs: ListEntityRecognizerSummariesRequestRequestTypeDef = { # (1)
"NextToken": ...,
}
parent.list_entity_recognizer_summaries(**kwargs)
list_entity_recognizers#
Gets a list of the properties of all entity recognizers that you created, including recognizers currently in training.
Type annotations and code completion for boto3.client("comprehend").list_entity_recognizers
method.
boto3 documentation
# list_entity_recognizers method definition
def list_entity_recognizers(
self,
*,
Filter: EntityRecognizerFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListEntityRecognizersResponseTypeDef: # (2)
...
# list_entity_recognizers method usage example with argument unpacking
kwargs: ListEntityRecognizersRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_entity_recognizers(**kwargs)
list_events_detection_jobs#
Gets a list of the events detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_events_detection_jobs
method.
boto3 documentation
# list_events_detection_jobs method definition
def list_events_detection_jobs(
self,
*,
Filter: EventsDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListEventsDetectionJobsResponseTypeDef: # (2)
...
# list_events_detection_jobs method usage example with argument unpacking
kwargs: ListEventsDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_events_detection_jobs(**kwargs)
list_flywheel_iteration_history#
Information about the history of a flywheel iteration.
Type annotations and code completion for boto3.client("comprehend").list_flywheel_iteration_history
method.
boto3 documentation
# list_flywheel_iteration_history method definition
def list_flywheel_iteration_history(
self,
*,
FlywheelArn: str,
Filter: FlywheelIterationFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListFlywheelIterationHistoryResponseTypeDef: # (2)
...
# list_flywheel_iteration_history method usage example with argument unpacking
kwargs: ListFlywheelIterationHistoryRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
}
parent.list_flywheel_iteration_history(**kwargs)
list_flywheels#
Gets a list of the flywheels that you have created.
Type annotations and code completion for boto3.client("comprehend").list_flywheels
method.
boto3 documentation
# list_flywheels method definition
def list_flywheels(
self,
*,
Filter: FlywheelFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListFlywheelsResponseTypeDef: # (2)
...
# list_flywheels method usage example with argument unpacking
kwargs: ListFlywheelsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_flywheels(**kwargs)
list_key_phrases_detection_jobs#
Get a list of key phrase detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_key_phrases_detection_jobs
method.
boto3 documentation
# list_key_phrases_detection_jobs method definition
def list_key_phrases_detection_jobs(
self,
*,
Filter: KeyPhrasesDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListKeyPhrasesDetectionJobsResponseTypeDef: # (2)
...
# list_key_phrases_detection_jobs method usage example with argument unpacking
kwargs: ListKeyPhrasesDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_key_phrases_detection_jobs(**kwargs)
list_pii_entities_detection_jobs#
Gets a list of the PII entity detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_pii_entities_detection_jobs
method.
boto3 documentation
# list_pii_entities_detection_jobs method definition
def list_pii_entities_detection_jobs(
self,
*,
Filter: PiiEntitiesDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListPiiEntitiesDetectionJobsResponseTypeDef: # (2)
...
# list_pii_entities_detection_jobs method usage example with argument unpacking
kwargs: ListPiiEntitiesDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_pii_entities_detection_jobs(**kwargs)
list_sentiment_detection_jobs#
Gets a list of sentiment detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_sentiment_detection_jobs
method.
boto3 documentation
# list_sentiment_detection_jobs method definition
def list_sentiment_detection_jobs(
self,
*,
Filter: SentimentDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListSentimentDetectionJobsResponseTypeDef: # (2)
...
# list_sentiment_detection_jobs method usage example with argument unpacking
kwargs: ListSentimentDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_sentiment_detection_jobs(**kwargs)
list_tags_for_resource#
Lists all tags associated with a given Amazon Comprehend resource.
Type annotations and code completion for boto3.client("comprehend").list_tags_for_resource
method.
boto3 documentation
# list_tags_for_resource method definition
def list_tags_for_resource(
self,
*,
ResourceArn: str,
) -> ListTagsForResourceResponseTypeDef: # (1)
...
# list_tags_for_resource method usage example with argument unpacking
kwargs: ListTagsForResourceRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
}
parent.list_tags_for_resource(**kwargs)
list_targeted_sentiment_detection_jobs#
Gets a list of targeted sentiment detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_targeted_sentiment_detection_jobs
method.
boto3 documentation
# list_targeted_sentiment_detection_jobs method definition
def list_targeted_sentiment_detection_jobs(
self,
*,
Filter: TargetedSentimentDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListTargetedSentimentDetectionJobsResponseTypeDef: # (2)
...
- See TargetedSentimentDetectionJobFilterTypeDef
- See ListTargetedSentimentDetectionJobsResponseTypeDef
# list_targeted_sentiment_detection_jobs method usage example with argument unpacking
kwargs: ListTargetedSentimentDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_targeted_sentiment_detection_jobs(**kwargs)
list_topics_detection_jobs#
Gets a list of the topic detection jobs that you have submitted.
Type annotations and code completion for boto3.client("comprehend").list_topics_detection_jobs
method.
boto3 documentation
# list_topics_detection_jobs method definition
def list_topics_detection_jobs(
self,
*,
Filter: TopicsDetectionJobFilterTypeDef = ..., # (1)
NextToken: str = ...,
MaxResults: int = ...,
) -> ListTopicsDetectionJobsResponseTypeDef: # (2)
...
# list_topics_detection_jobs method usage example with argument unpacking
kwargs: ListTopicsDetectionJobsRequestRequestTypeDef = { # (1)
"Filter": ...,
}
parent.list_topics_detection_jobs(**kwargs)
put_resource_policy#
Attaches a resource-based policy to a custom model.
Type annotations and code completion for boto3.client("comprehend").put_resource_policy
method.
boto3 documentation
# put_resource_policy method definition
def put_resource_policy(
self,
*,
ResourceArn: str,
ResourcePolicy: str,
PolicyRevisionId: str = ...,
) -> PutResourcePolicyResponseTypeDef: # (1)
...
# put_resource_policy method usage example with argument unpacking
kwargs: PutResourcePolicyRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
"ResourcePolicy": ...,
}
parent.put_resource_policy(**kwargs)
start_document_classification_job#
Starts an asynchronous document classification job using a custom classification model.
Type annotations and code completion for boto3.client("comprehend").start_document_classification_job
method.
boto3 documentation
# start_document_classification_job method definition
def start_document_classification_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
JobName: str = ...,
DocumentClassifierArn: str = ...,
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (3)
Tags: Sequence[TagTypeDef] = ..., # (4)
FlywheelArn: str = ...,
) -> StartDocumentClassificationJobResponseTypeDef: # (5)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See VpcConfigTypeDef
- See TagTypeDef
- See StartDocumentClassificationJobResponseTypeDef
# start_document_classification_job method usage example with argument unpacking
kwargs: StartDocumentClassificationJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
}
parent.start_document_classification_job(**kwargs)
start_dominant_language_detection_job#
Starts an asynchronous dominant language detection job for a collection of documents.
Type annotations and code completion for boto3.client("comprehend").start_dominant_language_detection_job
method.
boto3 documentation
# start_dominant_language_detection_job method definition
def start_dominant_language_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
JobName: str = ...,
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (3)
Tags: Sequence[TagTypeDef] = ..., # (4)
) -> StartDominantLanguageDetectionJobResponseTypeDef: # (5)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See VpcConfigTypeDef
- See TagTypeDef
- See StartDominantLanguageDetectionJobResponseTypeDef
# start_dominant_language_detection_job method usage example with argument unpacking
kwargs: StartDominantLanguageDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
}
parent.start_dominant_language_detection_job(**kwargs)
start_entities_detection_job#
Starts an asynchronous entity detection job for a collection of documents.
Type annotations and code completion for boto3.client("comprehend").start_entities_detection_job
method.
boto3 documentation
# start_entities_detection_job method definition
def start_entities_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
LanguageCode: LanguageCodeType, # (3)
JobName: str = ...,
EntityRecognizerArn: str = ...,
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
FlywheelArn: str = ...,
) -> StartEntitiesDetectionJobResponseTypeDef: # (6)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See LanguageCodeType
- See VpcConfigTypeDef
- See TagTypeDef
- See StartEntitiesDetectionJobResponseTypeDef
# start_entities_detection_job method usage example with argument unpacking
kwargs: StartEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
"LanguageCode": ...,
}
parent.start_entities_detection_job(**kwargs)
start_events_detection_job#
Starts an asynchronous event detection job for a collection of documents.
Type annotations and code completion for boto3.client("comprehend").start_events_detection_job
method.
boto3 documentation
# start_events_detection_job method definition
def start_events_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
LanguageCode: LanguageCodeType, # (3)
TargetEventTypes: Sequence[str],
JobName: str = ...,
ClientRequestToken: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (4)
) -> StartEventsDetectionJobResponseTypeDef: # (5)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See LanguageCodeType
- See TagTypeDef
- See StartEventsDetectionJobResponseTypeDef
# start_events_detection_job method usage example with argument unpacking
kwargs: StartEventsDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
"LanguageCode": ...,
"TargetEventTypes": ...,
}
parent.start_events_detection_job(**kwargs)
start_flywheel_iteration#
Start the flywheel iteration.This operation uses any new datasets to train a new model version.
Type annotations and code completion for boto3.client("comprehend").start_flywheel_iteration
method.
boto3 documentation
# start_flywheel_iteration method definition
def start_flywheel_iteration(
self,
*,
FlywheelArn: str,
ClientRequestToken: str = ...,
) -> StartFlywheelIterationResponseTypeDef: # (1)
...
# start_flywheel_iteration method usage example with argument unpacking
kwargs: StartFlywheelIterationRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
}
parent.start_flywheel_iteration(**kwargs)
start_key_phrases_detection_job#
Starts an asynchronous key phrase detection job for a collection of documents.
Type annotations and code completion for boto3.client("comprehend").start_key_phrases_detection_job
method.
boto3 documentation
# start_key_phrases_detection_job method definition
def start_key_phrases_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
LanguageCode: LanguageCodeType, # (3)
JobName: str = ...,
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
) -> StartKeyPhrasesDetectionJobResponseTypeDef: # (6)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See LanguageCodeType
- See VpcConfigTypeDef
- See TagTypeDef
- See StartKeyPhrasesDetectionJobResponseTypeDef
# start_key_phrases_detection_job method usage example with argument unpacking
kwargs: StartKeyPhrasesDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
"LanguageCode": ...,
}
parent.start_key_phrases_detection_job(**kwargs)
start_pii_entities_detection_job#
Starts an asynchronous PII entity detection job for a collection of documents.
Type annotations and code completion for boto3.client("comprehend").start_pii_entities_detection_job
method.
boto3 documentation
# start_pii_entities_detection_job method definition
def start_pii_entities_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
Mode: PiiEntitiesDetectionModeType, # (3)
DataAccessRoleArn: str,
LanguageCode: LanguageCodeType, # (4)
RedactionConfig: RedactionConfigTypeDef = ..., # (5)
JobName: str = ...,
ClientRequestToken: str = ...,
Tags: Sequence[TagTypeDef] = ..., # (6)
) -> StartPiiEntitiesDetectionJobResponseTypeDef: # (7)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See PiiEntitiesDetectionModeType
- See LanguageCodeType
- See RedactionConfigTypeDef
- See TagTypeDef
- See StartPiiEntitiesDetectionJobResponseTypeDef
# start_pii_entities_detection_job method usage example with argument unpacking
kwargs: StartPiiEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"Mode": ...,
"DataAccessRoleArn": ...,
"LanguageCode": ...,
}
parent.start_pii_entities_detection_job(**kwargs)
start_sentiment_detection_job#
Starts an asynchronous sentiment detection job for a collection of documents.
Type annotations and code completion for boto3.client("comprehend").start_sentiment_detection_job
method.
boto3 documentation
# start_sentiment_detection_job method definition
def start_sentiment_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
LanguageCode: LanguageCodeType, # (3)
JobName: str = ...,
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
) -> StartSentimentDetectionJobResponseTypeDef: # (6)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See LanguageCodeType
- See VpcConfigTypeDef
- See TagTypeDef
- See StartSentimentDetectionJobResponseTypeDef
# start_sentiment_detection_job method usage example with argument unpacking
kwargs: StartSentimentDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
"LanguageCode": ...,
}
parent.start_sentiment_detection_job(**kwargs)
start_targeted_sentiment_detection_job#
Starts an asynchronous targeted sentiment detection job for a collection of documents.
Type annotations and code completion for boto3.client("comprehend").start_targeted_sentiment_detection_job
method.
boto3 documentation
# start_targeted_sentiment_detection_job method definition
def start_targeted_sentiment_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
LanguageCode: LanguageCodeType, # (3)
JobName: str = ...,
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (4)
Tags: Sequence[TagTypeDef] = ..., # (5)
) -> StartTargetedSentimentDetectionJobResponseTypeDef: # (6)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See LanguageCodeType
- See VpcConfigTypeDef
- See TagTypeDef
- See StartTargetedSentimentDetectionJobResponseTypeDef
# start_targeted_sentiment_detection_job method usage example with argument unpacking
kwargs: StartTargetedSentimentDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
"LanguageCode": ...,
}
parent.start_targeted_sentiment_detection_job(**kwargs)
start_topics_detection_job#
Starts an asynchronous topic detection job.
Type annotations and code completion for boto3.client("comprehend").start_topics_detection_job
method.
boto3 documentation
# start_topics_detection_job method definition
def start_topics_detection_job(
self,
*,
InputDataConfig: InputDataConfigTypeDef, # (1)
OutputDataConfig: OutputDataConfigTypeDef, # (2)
DataAccessRoleArn: str,
JobName: str = ...,
NumberOfTopics: int = ...,
ClientRequestToken: str = ...,
VolumeKmsKeyId: str = ...,
VpcConfig: VpcConfigTypeDef = ..., # (3)
Tags: Sequence[TagTypeDef] = ..., # (4)
) -> StartTopicsDetectionJobResponseTypeDef: # (5)
...
- See InputDataConfigTypeDef
- See OutputDataConfigTypeDef
- See VpcConfigTypeDef
- See TagTypeDef
- See StartTopicsDetectionJobResponseTypeDef
# start_topics_detection_job method usage example with argument unpacking
kwargs: StartTopicsDetectionJobRequestRequestTypeDef = { # (1)
"InputDataConfig": ...,
"OutputDataConfig": ...,
"DataAccessRoleArn": ...,
}
parent.start_topics_detection_job(**kwargs)
stop_dominant_language_detection_job#
Stops a dominant language detection job in progress.
Type annotations and code completion for boto3.client("comprehend").stop_dominant_language_detection_job
method.
boto3 documentation
# stop_dominant_language_detection_job method definition
def stop_dominant_language_detection_job(
self,
*,
JobId: str,
) -> StopDominantLanguageDetectionJobResponseTypeDef: # (1)
...
# stop_dominant_language_detection_job method usage example with argument unpacking
kwargs: StopDominantLanguageDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.stop_dominant_language_detection_job(**kwargs)
stop_entities_detection_job#
Stops an entities detection job in progress.
Type annotations and code completion for boto3.client("comprehend").stop_entities_detection_job
method.
boto3 documentation
# stop_entities_detection_job method definition
def stop_entities_detection_job(
self,
*,
JobId: str,
) -> StopEntitiesDetectionJobResponseTypeDef: # (1)
...
# stop_entities_detection_job method usage example with argument unpacking
kwargs: StopEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.stop_entities_detection_job(**kwargs)
stop_events_detection_job#
Stops an events detection job in progress.
Type annotations and code completion for boto3.client("comprehend").stop_events_detection_job
method.
boto3 documentation
# stop_events_detection_job method definition
def stop_events_detection_job(
self,
*,
JobId: str,
) -> StopEventsDetectionJobResponseTypeDef: # (1)
...
# stop_events_detection_job method usage example with argument unpacking
kwargs: StopEventsDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.stop_events_detection_job(**kwargs)
stop_key_phrases_detection_job#
Stops a key phrases detection job in progress.
Type annotations and code completion for boto3.client("comprehend").stop_key_phrases_detection_job
method.
boto3 documentation
# stop_key_phrases_detection_job method definition
def stop_key_phrases_detection_job(
self,
*,
JobId: str,
) -> StopKeyPhrasesDetectionJobResponseTypeDef: # (1)
...
# stop_key_phrases_detection_job method usage example with argument unpacking
kwargs: StopKeyPhrasesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.stop_key_phrases_detection_job(**kwargs)
stop_pii_entities_detection_job#
Stops a PII entities detection job in progress.
Type annotations and code completion for boto3.client("comprehend").stop_pii_entities_detection_job
method.
boto3 documentation
# stop_pii_entities_detection_job method definition
def stop_pii_entities_detection_job(
self,
*,
JobId: str,
) -> StopPiiEntitiesDetectionJobResponseTypeDef: # (1)
...
# stop_pii_entities_detection_job method usage example with argument unpacking
kwargs: StopPiiEntitiesDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.stop_pii_entities_detection_job(**kwargs)
stop_sentiment_detection_job#
Stops a sentiment detection job in progress.
Type annotations and code completion for boto3.client("comprehend").stop_sentiment_detection_job
method.
boto3 documentation
# stop_sentiment_detection_job method definition
def stop_sentiment_detection_job(
self,
*,
JobId: str,
) -> StopSentimentDetectionJobResponseTypeDef: # (1)
...
# stop_sentiment_detection_job method usage example with argument unpacking
kwargs: StopSentimentDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.stop_sentiment_detection_job(**kwargs)
stop_targeted_sentiment_detection_job#
Stops a targeted sentiment detection job in progress.
Type annotations and code completion for boto3.client("comprehend").stop_targeted_sentiment_detection_job
method.
boto3 documentation
# stop_targeted_sentiment_detection_job method definition
def stop_targeted_sentiment_detection_job(
self,
*,
JobId: str,
) -> StopTargetedSentimentDetectionJobResponseTypeDef: # (1)
...
# stop_targeted_sentiment_detection_job method usage example with argument unpacking
kwargs: StopTargetedSentimentDetectionJobRequestRequestTypeDef = { # (1)
"JobId": ...,
}
parent.stop_targeted_sentiment_detection_job(**kwargs)
stop_training_document_classifier#
Stops a document classifier training job while in progress.
Type annotations and code completion for boto3.client("comprehend").stop_training_document_classifier
method.
boto3 documentation
# stop_training_document_classifier method definition
def stop_training_document_classifier(
self,
*,
DocumentClassifierArn: str,
) -> dict[str, Any]:
...
# stop_training_document_classifier method usage example with argument unpacking
kwargs: StopTrainingDocumentClassifierRequestRequestTypeDef = { # (1)
"DocumentClassifierArn": ...,
}
parent.stop_training_document_classifier(**kwargs)
stop_training_entity_recognizer#
Stops an entity recognizer training job while in progress.
Type annotations and code completion for boto3.client("comprehend").stop_training_entity_recognizer
method.
boto3 documentation
# stop_training_entity_recognizer method definition
def stop_training_entity_recognizer(
self,
*,
EntityRecognizerArn: str,
) -> dict[str, Any]:
...
# stop_training_entity_recognizer method usage example with argument unpacking
kwargs: StopTrainingEntityRecognizerRequestRequestTypeDef = { # (1)
"EntityRecognizerArn": ...,
}
parent.stop_training_entity_recognizer(**kwargs)
tag_resource#
Associates a specific tag with an Amazon Comprehend resource.
Type annotations and code completion for boto3.client("comprehend").tag_resource
method.
boto3 documentation
# tag_resource method definition
def tag_resource(
self,
*,
ResourceArn: str,
Tags: Sequence[TagTypeDef], # (1)
) -> dict[str, Any]:
...
- See TagTypeDef
# tag_resource method usage example with argument unpacking
kwargs: TagResourceRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
"Tags": ...,
}
parent.tag_resource(**kwargs)
untag_resource#
Removes a specific tag associated with an Amazon Comprehend resource.
Type annotations and code completion for boto3.client("comprehend").untag_resource
method.
boto3 documentation
# untag_resource method definition
def untag_resource(
self,
*,
ResourceArn: str,
TagKeys: Sequence[str],
) -> dict[str, Any]:
...
# untag_resource method usage example with argument unpacking
kwargs: UntagResourceRequestRequestTypeDef = { # (1)
"ResourceArn": ...,
"TagKeys": ...,
}
parent.untag_resource(**kwargs)
update_endpoint#
Updates information about the specified endpoint.
Type annotations and code completion for boto3.client("comprehend").update_endpoint
method.
boto3 documentation
# update_endpoint method definition
def update_endpoint(
self,
*,
EndpointArn: str,
DesiredModelArn: str = ...,
DesiredInferenceUnits: int = ...,
DesiredDataAccessRoleArn: str = ...,
FlywheelArn: str = ...,
) -> UpdateEndpointResponseTypeDef: # (1)
...
# update_endpoint method usage example with argument unpacking
kwargs: UpdateEndpointRequestRequestTypeDef = { # (1)
"EndpointArn": ...,
}
parent.update_endpoint(**kwargs)
update_flywheel#
Update the configuration information for an existing flywheel.
Type annotations and code completion for boto3.client("comprehend").update_flywheel
method.
boto3 documentation
# update_flywheel method definition
def update_flywheel(
self,
*,
FlywheelArn: str,
ActiveModelArn: str = ...,
DataAccessRoleArn: str = ...,
DataSecurityConfig: UpdateDataSecurityConfigTypeDef = ..., # (1)
) -> UpdateFlywheelResponseTypeDef: # (2)
...
# update_flywheel method usage example with argument unpacking
kwargs: UpdateFlywheelRequestRequestTypeDef = { # (1)
"FlywheelArn": ...,
}
parent.update_flywheel(**kwargs)
get_paginator#
Type annotations and code completion for boto3.client("comprehend").get_paginator
method with overloads.
client.get_paginator("list_document_classification_jobs")
-> ListDocumentClassificationJobsPaginatorclient.get_paginator("list_document_classifiers")
-> ListDocumentClassifiersPaginatorclient.get_paginator("list_dominant_language_detection_jobs")
-> ListDominantLanguageDetectionJobsPaginatorclient.get_paginator("list_endpoints")
-> ListEndpointsPaginatorclient.get_paginator("list_entities_detection_jobs")
-> ListEntitiesDetectionJobsPaginatorclient.get_paginator("list_entity_recognizers")
-> ListEntityRecognizersPaginatorclient.get_paginator("list_key_phrases_detection_jobs")
-> ListKeyPhrasesDetectionJobsPaginatorclient.get_paginator("list_pii_entities_detection_jobs")
-> ListPiiEntitiesDetectionJobsPaginatorclient.get_paginator("list_sentiment_detection_jobs")
-> ListSentimentDetectionJobsPaginatorclient.get_paginator("list_topics_detection_jobs")
-> ListTopicsDetectionJobsPaginator