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Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/entity-linking/how-to/call-api.md
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@@ -24,7 +24,7 @@ The entity linking feature can be used to identify and disambiguate the identity
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### Specify the entity linking model
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By default, entity linking will use the latest available AI model on your text. You can also configure your API requests to use a previous model version, if you determine one performs better on your data. The model you specify will be used to perform entity linking operations.
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By default, entity linking will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform entity linking operations.
Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/key-phrase-extraction/how-to/call-api.md
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@@ -27,7 +27,7 @@ This feature is useful if you need to quickly identify the main points in a coll
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### Specify the key phrase extraction model
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By default, key phrase extraction will use the latest available AI model on your text. You can also configure your API requests to use a previous model version, if you determine one performs better on your data. The model you specify will be used to perform key phrase extraction operations.
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By default, key phrase extraction will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform key phrase extraction operations.
Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/language-detection/how-to/call-api.md
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@@ -28,7 +28,7 @@ The Language Detection feature can detect a wide range of languages, variants, d
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### Specify the language detection model
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By default, language detection will use the latest available AI model on your text. You can also configure your API requests to use a previous model version, if you determine one performs better on your data. The model you specify will be used to perform language detection operations.
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By default, language detection will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform language detection operations.
Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/named-entity-recognition/how-to-call.md
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@@ -22,7 +22,7 @@ The NER feature can evaluate unstructured text, and extract named entities from
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### Specify the NER model
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By default, this feature will use the latest available AI model on your text. You can also configure your API requests to use a previous model version. The model you specify will be used to perform NER and PII operations.
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By default, this feature will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform NER operations.
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| Supported Versions | latest version |
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Analysis is performed upon receipt of the request. For information on the size and number of requests you can send per minute and second, see the data limits section below.
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Using the NER and PII features synchronously is stateless. No data is stored in your account, and results are returned immediately in the response.
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Using the NER feature synchronously is stateless. No data is stored in your account, and results are returned immediately in the response.
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When using these features asynchronously, the API results are available for 24 hours from the time the request was ingested, and is indicated in the response. After this time period, the results are purged and are no longer available for retrieval.
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The API will attempt to detect the [defined entity categories](concepts/named-entity-categories.md) for a given document language. If you want to specify which entities will be detected and returned, use the optional `piiCategories` parameter with the appropriate entity categories. This parameter can also let you detect entities that aren't enabled by default for your document language. The following URL example would detect a French driver's license number that might occur in English text, along with the default English entities.
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The API will attempt to detect the [defined entity categories](concepts/named-entity-categories.md) for a given document language.
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> [!TIP]
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> If you don't include `default` when specifying entity categories, The API will only return the entity categories you specify.
When you get results from NER, you can stream the results to an application or save the output to a file on the local system. The API response will include [recognized entities](concepts/named-entity-categories.md), including their categories and sub-categories, and confidence scores. Entities that represent personal information (PII) will be redacted in the returned text.
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When you get results from NER, you can stream the results to an application or save the output to a file on the local system. The API response will include [recognized entities](concepts/named-entity-categories.md), including their categories and sub-categories, and confidence scores.
Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/sentiment-opinion-mining/how-to/call-api.md
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@@ -50,7 +50,7 @@ If you're using the REST API, to get Opinion Mining in your results, you must in
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### Specify the sentiment analysis model
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By default, sentiment analysis will use the latest available AI model on your text. You can also configure your API requests to use a previous model version, if you determine one performs better on your data. The model you specify will be used to perform sentiment analysis operations.
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By default, sentiment analysis will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform sentiment analysis operations.
Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/text-analytics-for-health/how-to/call-api.md
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@@ -36,7 +36,7 @@ See the [entity categories](../concepts/health-entity-categories.md) returned by
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### Specify the Text Analytics for health model
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By default, Text Analytics for health will use the latest available AI model on your text. You can also configure your API requests to use a previous model version, if you determine one performs better on your data. The model you specify will be used to perform operations provided by the Text Analytics for health.
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By default, Text Analytics for health will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform operations provided by the Text Analytics for health.
Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/text-summarization/how-to/call-api.md
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### Specify the text summarization model
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By default, text summarization will use the latest available AI model on your text. You can also configure your API requests to use a previous model version, if you determine one performs better on your data. The model you specify will be used to perform text summarization operations.
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By default, text summarization will use the latest available AI model on your text. You can also configure your API requests to use a specific model version. The model you specify will be used to perform text summarization operations.
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