Amazon Comprehend is an AWS service for gaining insight into the content of documents. Use these actions to determine the topics contained in your documents, the topics they discuss, the predominant sentiment expressed in them, the predominant language used, and more.
comprehend(config = list())A client for the service. You can call the service's operations using
syntax like svc$operation(...), where svc is the name you've assigned
to the client. The available operations are listed in the
Operations section.
Optional configuration of credentials, endpoint, and/or region.
svc <- comprehend(
config = list(
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string"
),
endpoint = "string",
region = "string"
)
)
| batch_detect_dominant_language | Determines the dominant language of the input text for a batch of documents |
| batch_detect_entities | Inspects the text of a batch of documents for named entities and returns information about them |
| batch_detect_key_phrases | Detects the key noun phrases found in a batch of documents |
| batch_detect_sentiment | Inspects a batch of documents and returns an inference of the prevailing sentiment, POSITIVE, NEUTRAL, MIXED, or NEGATIVE, in each one |
| 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 |
| classify_document | Creates a new document classification request to analyze a single document in real-time, using a previously created and trained custom model and an endpoint |
| create_document_classifier | Creates a new document classifier that you can use to categorize documents |
| create_endpoint | Creates a model-specific endpoint for synchronous inference for a previously trained custom model |
| create_entity_recognizer | Creates an entity recognizer using submitted files |
| delete_document_classifier | Deletes a previously created document classifier |
| delete_endpoint | Deletes a model-specific endpoint for a previously-trained custom model |
| delete_entity_recognizer | Deletes an entity recognizer |
| describe_document_classification_job | Gets the properties associated with a document classification job |
| describe_document_classifier | Gets the properties associated with a document classifier |
| describe_dominant_language_detection_job | Gets the properties associated with a dominant language detection job |
| describe_endpoint | Gets the properties associated with a specific endpoint |
| describe_entities_detection_job | Gets the properties associated with an entities detection job |
| describe_entity_recognizer | Provides details about an entity recognizer including status, S3 buckets containing training data, recognizer metadata, metrics, and so on |
| describe_events_detection_job | Gets the status and details of an events detection job |
| describe_key_phrases_detection_job | Gets the properties associated with a key phrases detection job |
| describe_pii_entities_detection_job | Gets the properties associated with a PII entities detection job |
| describe_sentiment_detection_job | Gets the properties associated with a sentiment detection job |
| describe_topics_detection_job | Gets the properties associated with a topic detection job |
| detect_dominant_language | Determines the dominant language of the input text |
| detect_entities | Inspects text for named entities, and returns information about them |
| detect_key_phrases | Detects the key noun phrases found in the text |
| detect_pii_entities | Inspects the input text for entities that contain personally identifiable information (PII) and returns information about them |
| detect_sentiment | Inspects text and returns an inference of the prevailing sentiment (POSITIVE, NEUTRAL, MIXED, or NEGATIVE) |
| detect_syntax | Inspects text for syntax and the part of speech of words in the document |
| list_document_classification_jobs | Gets a list of the documentation classification jobs that you have submitted |
| list_document_classifiers | Gets a list of the document classifiers that you have created |
| list_dominant_language_detection_jobs | Gets a list of the dominant language detection jobs that you have submitted |
| list_endpoints | Gets a list of all existing endpoints that you've created |
| list_entities_detection_jobs | Gets a list of the entity detection jobs that you have submitted |
| list_entity_recognizers | Gets a list of the properties of all entity recognizers that you created, including recognizers currently in training |
| list_events_detection_jobs | Gets a list of the events detection jobs that you have submitted |
| list_key_phrases_detection_jobs | Get a list of key phrase detection jobs that you have submitted |
| list_pii_entities_detection_jobs | Gets a list of the PII entity detection jobs that you have submitted |
| list_sentiment_detection_jobs | Gets a list of sentiment detection jobs that you have submitted |
| list_tags_for_resource | Lists all tags associated with a given Amazon Comprehend resource |
| list_topics_detection_jobs | Gets a list of the topic detection jobs that you have submitted |
| start_document_classification_job | Starts an asynchronous document classification job |
| start_dominant_language_detection_job | Starts an asynchronous dominant language detection job for a collection of documents |
| start_entities_detection_job | Starts an asynchronous entity detection job for a collection of documents |
| start_events_detection_job | Starts an asynchronous event detection job for a collection of documents |
| start_key_phrases_detection_job | Starts an asynchronous key phrase detection job for a collection of documents |
| start_pii_entities_detection_job | Starts an asynchronous PII entity detection job for a collection of documents |
| start_sentiment_detection_job | Starts an asynchronous sentiment detection job for a collection of documents |
| start_topics_detection_job | Starts an asynchronous topic detection job |
| stop_dominant_language_detection_job | Stops a dominant language detection job in progress |
| stop_entities_detection_job | Stops an entities detection job in progress |
| stop_events_detection_job | Stops an events detection job in progress |
| stop_key_phrases_detection_job | Stops a key phrases detection job in progress |
| stop_pii_entities_detection_job | Stops a PII entities detection job in progress |
| stop_sentiment_detection_job | Stops a sentiment detection job in progress |
| stop_training_document_classifier | Stops a document classifier training job while in progress |
| stop_training_entity_recognizer | Stops an entity recognizer training job while in progress |
| tag_resource | Associates a specific tag with an Amazon Comprehend resource |
| untag_resource | Removes a specific tag associated with an Amazon Comprehend resource |
| update_endpoint | Updates information about the specified endpoint |
if (FALSE) {
svc <- comprehend()
svc$batch_detect_dominant_language(
Foo = 123
)
}
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