Class: Aws::Comprehend::Client
- Inherits:
-
Seahorse::Client::Base
- Object
- Seahorse::Client::Base
- Aws::Comprehend::Client
- Includes:
- Aws::ClientStubs
- Defined in:
- gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/client.rb
Overview
An API client for Comprehend. To construct a client, you need to configure a :region and :credentials.
client = Aws::Comprehend::Client.new(
region: region_name,
credentials: credentials,
# ...
)
For details on configuring region and credentials see the developer guide.
See #initialize for a full list of supported configuration options.
Instance Attribute Summary
Attributes inherited from Seahorse::Client::Base
API Operations collapse
-
#batch_detect_dominant_language(params = {}) ⇒ Types::BatchDetectDominantLanguageResponse
Determines the dominant language of the input text for a batch of documents.
-
#batch_detect_entities(params = {}) ⇒ Types::BatchDetectEntitiesResponse
Inspects the text of a batch of documents for named entities and returns information about them.
-
#batch_detect_key_phrases(params = {}) ⇒ Types::BatchDetectKeyPhrasesResponse
Detects the key noun phrases found in a batch of documents.
-
#batch_detect_sentiment(params = {}) ⇒ Types::BatchDetectSentimentResponse
Inspects a batch of documents and returns an inference of the prevailing sentiment,
POSITIVE,NEUTRAL,MIXED, orNEGATIVE, in each one. -
#batch_detect_syntax(params = {}) ⇒ Types::BatchDetectSyntaxResponse
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.
-
#batch_detect_targeted_sentiment(params = {}) ⇒ Types::BatchDetectTargetedSentimentResponse
Inspects a batch of documents and returns a sentiment analysis for each entity identified in the documents.
-
#classify_document(params = {}) ⇒ Types::ClassifyDocumentResponse
Creates a classification request to analyze a single document in real-time.
-
#contains_pii_entities(params = {}) ⇒ Types::ContainsPiiEntitiesResponse
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.
-
#create_dataset(params = {}) ⇒ Types::CreateDatasetResponse
Creates a dataset to upload training or test data for a model associated with a flywheel.
-
#create_document_classifier(params = {}) ⇒ Types::CreateDocumentClassifierResponse
Creates a new document classifier that you can use to categorize documents.
-
#create_endpoint(params = {}) ⇒ Types::CreateEndpointResponse
Creates a model-specific endpoint for synchronous inference for a previously trained custom model For information about endpoints, see [Managing endpoints][1].
-
#create_entity_recognizer(params = {}) ⇒ Types::CreateEntityRecognizerResponse
Creates an entity recognizer using submitted files.
-
#create_flywheel(params = {}) ⇒ Types::CreateFlywheelResponse
A flywheel is an Amazon Web Services resource that orchestrates the ongoing training of a model for custom classification or custom entity recognition.
-
#delete_document_classifier(params = {}) ⇒ Struct
Deletes a previously created document classifier.
-
#delete_endpoint(params = {}) ⇒ Struct
Deletes a model-specific endpoint for a previously-trained custom model.
-
#delete_entity_recognizer(params = {}) ⇒ Struct
Deletes an entity recognizer.
-
#delete_flywheel(params = {}) ⇒ Struct
Deletes a flywheel.
-
#delete_resource_policy(params = {}) ⇒ Struct
Deletes a resource-based policy that is attached to a custom model.
-
#describe_dataset(params = {}) ⇒ Types::DescribeDatasetResponse
Returns information about the dataset that you specify.
-
#describe_document_classification_job(params = {}) ⇒ Types::DescribeDocumentClassificationJobResponse
Gets the properties associated with a document classification job.
-
#describe_document_classifier(params = {}) ⇒ Types::DescribeDocumentClassifierResponse
Gets the properties associated with a document classifier.
-
#describe_dominant_language_detection_job(params = {}) ⇒ Types::DescribeDominantLanguageDetectionJobResponse
Gets the properties associated with a dominant language detection job.
-
#describe_endpoint(params = {}) ⇒ Types::DescribeEndpointResponse
Gets the properties associated with a specific endpoint.
-
#describe_entities_detection_job(params = {}) ⇒ Types::DescribeEntitiesDetectionJobResponse
Gets the properties associated with an entities detection job.
-
#describe_entity_recognizer(params = {}) ⇒ Types::DescribeEntityRecognizerResponse
Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on.
-
#describe_events_detection_job(params = {}) ⇒ Types::DescribeEventsDetectionJobResponse
Gets the status and details of an events detection job.
-
#describe_flywheel(params = {}) ⇒ Types::DescribeFlywheelResponse
Provides configuration information about the flywheel.
-
#describe_flywheel_iteration(params = {}) ⇒ Types::DescribeFlywheelIterationResponse
Retrieve the configuration properties of a flywheel iteration.
-
#describe_key_phrases_detection_job(params = {}) ⇒ Types::DescribeKeyPhrasesDetectionJobResponse
Gets the properties associated with a key phrases detection job.
-
#describe_pii_entities_detection_job(params = {}) ⇒ Types::DescribePiiEntitiesDetectionJobResponse
Gets the properties associated with a PII entities detection job.
-
#describe_resource_policy(params = {}) ⇒ Types::DescribeResourcePolicyResponse
Gets the details of a resource-based policy that is attached to a custom model, including the JSON body of the policy.
-
#describe_sentiment_detection_job(params = {}) ⇒ Types::DescribeSentimentDetectionJobResponse
Gets the properties associated with a sentiment detection job.
-
#describe_targeted_sentiment_detection_job(params = {}) ⇒ Types::DescribeTargetedSentimentDetectionJobResponse
Gets the properties associated with a targeted sentiment detection job.
-
#describe_topics_detection_job(params = {}) ⇒ Types::DescribeTopicsDetectionJobResponse
Gets the properties associated with a topic detection job.
-
#detect_dominant_language(params = {}) ⇒ Types::DetectDominantLanguageResponse
Determines the dominant language of the input text.
-
#detect_entities(params = {}) ⇒ Types::DetectEntitiesResponse
Detects named entities in input text when you use the pre-trained model.
-
#detect_key_phrases(params = {}) ⇒ Types::DetectKeyPhrasesResponse
Detects the key noun phrases found in the text.
-
#detect_pii_entities(params = {}) ⇒ Types::DetectPiiEntitiesResponse
Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them.
-
#detect_sentiment(params = {}) ⇒ Types::DetectSentimentResponse
Inspects text and returns an inference of the prevailing sentiment (
POSITIVE,NEUTRAL,MIXED, orNEGATIVE). -
#detect_syntax(params = {}) ⇒ Types::DetectSyntaxResponse
Inspects text for syntax and the part of speech of words in the document.
-
#detect_targeted_sentiment(params = {}) ⇒ Types::DetectTargetedSentimentResponse
Inspects the input text and returns a sentiment analysis for each entity identified in the text.
-
#detect_toxic_content(params = {}) ⇒ Types::DetectToxicContentResponse
Performs toxicity analysis on the list of text strings that you provide as input.
-
#import_model(params = {}) ⇒ Types::ImportModelResponse
Creates a new custom model that replicates a source custom model that you import.
-
#list_datasets(params = {}) ⇒ Types::ListDatasetsResponse
List the datasets that you have configured in this Region.
-
#list_document_classification_jobs(params = {}) ⇒ Types::ListDocumentClassificationJobsResponse
Gets a list of the documentation classification jobs that you have submitted.
-
#list_document_classifier_summaries(params = {}) ⇒ Types::ListDocumentClassifierSummariesResponse
Gets a list of summaries of the document classifiers that you have created.
-
#list_document_classifiers(params = {}) ⇒ Types::ListDocumentClassifiersResponse
Gets a list of the document classifiers that you have created.
-
#list_dominant_language_detection_jobs(params = {}) ⇒ Types::ListDominantLanguageDetectionJobsResponse
Gets a list of the dominant language detection jobs that you have submitted.
-
#list_endpoints(params = {}) ⇒ Types::ListEndpointsResponse
Gets a list of all existing endpoints that you've created.
-
#list_entities_detection_jobs(params = {}) ⇒ Types::ListEntitiesDetectionJobsResponse
Gets a list of the entity detection jobs that you have submitted.
-
#list_entity_recognizer_summaries(params = {}) ⇒ Types::ListEntityRecognizerSummariesResponse
Gets a list of summaries for the entity recognizers that you have created.
-
#list_entity_recognizers(params = {}) ⇒ Types::ListEntityRecognizersResponse
Gets a list of the properties of all entity recognizers that you created, including recognizers currently in training.
-
#list_events_detection_jobs(params = {}) ⇒ Types::ListEventsDetectionJobsResponse
Gets a list of the events detection jobs that you have submitted.
-
#list_flywheel_iteration_history(params = {}) ⇒ Types::ListFlywheelIterationHistoryResponse
Information about the history of a flywheel iteration.
-
#list_flywheels(params = {}) ⇒ Types::ListFlywheelsResponse
Gets a list of the flywheels that you have created.
-
#list_key_phrases_detection_jobs(params = {}) ⇒ Types::ListKeyPhrasesDetectionJobsResponse
Get a list of key phrase detection jobs that you have submitted.
-
#list_pii_entities_detection_jobs(params = {}) ⇒ Types::ListPiiEntitiesDetectionJobsResponse
Gets a list of the PII entity detection jobs that you have submitted.
-
#list_sentiment_detection_jobs(params = {}) ⇒ Types::ListSentimentDetectionJobsResponse
Gets a list of sentiment detection jobs that you have submitted.
-
#list_tags_for_resource(params = {}) ⇒ Types::ListTagsForResourceResponse
Lists all tags associated with a given Amazon Comprehend resource.
-
#list_targeted_sentiment_detection_jobs(params = {}) ⇒ Types::ListTargetedSentimentDetectionJobsResponse
Gets a list of targeted sentiment detection jobs that you have submitted.
-
#list_topics_detection_jobs(params = {}) ⇒ Types::ListTopicsDetectionJobsResponse
Gets a list of the topic detection jobs that you have submitted.
-
#put_resource_policy(params = {}) ⇒ Types::PutResourcePolicyResponse
Attaches a resource-based policy to a custom model.
-
#start_document_classification_job(params = {}) ⇒ Types::StartDocumentClassificationJobResponse
Starts an asynchronous document classification job using a custom classification model.
-
#start_dominant_language_detection_job(params = {}) ⇒ Types::StartDominantLanguageDetectionJobResponse
Starts an asynchronous dominant language detection job for a collection of documents.
-
#start_entities_detection_job(params = {}) ⇒ Types::StartEntitiesDetectionJobResponse
Starts an asynchronous entity detection job for a collection of documents.
-
#start_events_detection_job(params = {}) ⇒ Types::StartEventsDetectionJobResponse
Starts an asynchronous event detection job for a collection of documents.
-
#start_flywheel_iteration(params = {}) ⇒ Types::StartFlywheelIterationResponse
Start the flywheel iteration.This operation uses any new datasets to train a new model version.
-
#start_key_phrases_detection_job(params = {}) ⇒ Types::StartKeyPhrasesDetectionJobResponse
Starts an asynchronous key phrase detection job for a collection of documents.
-
#start_pii_entities_detection_job(params = {}) ⇒ Types::StartPiiEntitiesDetectionJobResponse
Starts an asynchronous PII entity detection job for a collection of documents.
-
#start_sentiment_detection_job(params = {}) ⇒ Types::StartSentimentDetectionJobResponse
Starts an asynchronous sentiment detection job for a collection of documents.
-
#start_targeted_sentiment_detection_job(params = {}) ⇒ Types::StartTargetedSentimentDetectionJobResponse
Starts an asynchronous targeted sentiment detection job for a collection of documents.
-
#start_topics_detection_job(params = {}) ⇒ Types::StartTopicsDetectionJobResponse
Starts an asynchronous topic detection job.
-
#stop_dominant_language_detection_job(params = {}) ⇒ Types::StopDominantLanguageDetectionJobResponse
Stops a dominant language detection job in progress.
-
#stop_entities_detection_job(params = {}) ⇒ Types::StopEntitiesDetectionJobResponse
Stops an entities detection job in progress.
-
#stop_events_detection_job(params = {}) ⇒ Types::StopEventsDetectionJobResponse
Stops an events detection job in progress.
-
#stop_key_phrases_detection_job(params = {}) ⇒ Types::StopKeyPhrasesDetectionJobResponse
Stops a key phrases detection job in progress.
-
#stop_pii_entities_detection_job(params = {}) ⇒ Types::StopPiiEntitiesDetectionJobResponse
Stops a PII entities detection job in progress.
-
#stop_sentiment_detection_job(params = {}) ⇒ Types::StopSentimentDetectionJobResponse
Stops a sentiment detection job in progress.
-
#stop_targeted_sentiment_detection_job(params = {}) ⇒ Types::StopTargetedSentimentDetectionJobResponse
Stops a targeted sentiment detection job in progress.
-
#stop_training_document_classifier(params = {}) ⇒ Struct
Stops a document classifier training job while in progress.
-
#stop_training_entity_recognizer(params = {}) ⇒ Struct
Stops an entity recognizer training job while in progress.
-
#tag_resource(params = {}) ⇒ Struct
Associates a specific tag with an Amazon Comprehend resource.
-
#untag_resource(params = {}) ⇒ Struct
Removes a specific tag associated with an Amazon Comprehend resource.
-
#update_endpoint(params = {}) ⇒ Types::UpdateEndpointResponse
Updates information about the specified endpoint.
-
#update_flywheel(params = {}) ⇒ Types::UpdateFlywheelResponse
Update the configuration information for an existing flywheel.
Instance Method Summary collapse
-
#initialize(options) ⇒ Client
constructor
A new instance of Client.
Methods included from Aws::ClientStubs
#api_requests, #stub_data, #stub_responses
Methods inherited from Seahorse::Client::Base
add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins
Methods included from Seahorse::Client::HandlerBuilder
#handle, #handle_request, #handle_response
Constructor Details
#initialize(options) ⇒ Client
Returns a new instance of Client.
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# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/client.rb', line 478 def initialize(*args) super end |
Instance Method Details
#batch_detect_dominant_language(params = {}) ⇒ Types::BatchDetectDominantLanguageResponse
Determines the dominant language of the input text for a batch of documents. For a list of languages that Amazon Comprehend can detect, see Amazon Comprehend Supported Languages.
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# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/client.rb', line 525 def batch_detect_dominant_language(params = {}, = {}) req = build_request(:batch_detect_dominant_language, params) req.send_request() end |
#batch_detect_entities(params = {}) ⇒ Types::BatchDetectEntitiesResponse
Inspects the text of a batch of documents for named entities and returns information about them. For more information about named entities, see Entities in the Comprehend Developer Guide.
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# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/client.rb', line 587 def batch_detect_entities(params = {}, = {}) req = build_request(:batch_detect_entities, params) req.send_request() end |
#batch_detect_key_phrases(params = {}) ⇒ Types::BatchDetectKeyPhrasesResponse
Detects the key noun phrases found in a batch of documents.
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# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/client.rb', line 634 def batch_detect_key_phrases(params = {}, = {}) req = build_request(:batch_detect_key_phrases, params) req.send_request() end |
#batch_detect_sentiment(params = {}) ⇒ Types::BatchDetectSentimentResponse
Inspects a batch of documents and returns an inference of the
prevailing sentiment, POSITIVE, NEUTRAL, MIXED, or NEGATIVE,
in each one.
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# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/client.rb', line 683 def batch_detect_sentiment(params = {}, = {}) req = build_request(:batch_detect_sentiment, params) req.send_request() end |
#batch_detect_syntax(params = {}) ⇒ Types::BatchDetectSyntaxResponse
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. For more information, see Syntax in the Comprehend Developer Guide.
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# File 'gems/aws-sdk-comprehend/lib/aws-sdk-comprehend/client.rb', line 740 def batch_detect_syntax(params = {}, = {}) req = build_request(:batch_detect_syntax, params) req.send_request() end |
#batch_detect_targeted_sentiment(params = {}) ⇒ Types::BatchDetectTargetedSentimentResponse
Inspects a batch of documents and returns a sentiment analysis for each entity identified in the documents.
For more information about targeted sentiment, see Targeted sentiment in the Amazon Comprehend Developer Guide.