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*[Detect personal information](#detect-personal-information)
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*[Entity linking](#entity-linking)
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*[Key phrase extraction](#key-phrase-extraction)
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@@ -259,7 +258,6 @@ Language: English
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> [!NOTE]
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> New in version `3.0-preview`:
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> * Entity recognition now includes the ability to detect personal information in text.
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> * Entity linking is now a separated from entity recognition.
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@@ -289,33 +287,6 @@ Named Entities:
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Length: 9, Score: 0.80
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```
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## Detect personal information
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Create a new function called `EntityPIIExample()` that takes the client that you created earlier, call its `RecognizePiiEntities()` function and iterate through the results. Similar to the previous function the returned `Response<IReadOnlyCollection<CategorizedEntity>>` object will contain the list of detected entities. If there was an error, it will throw a `RequestFailedException`.
Text: 123-12-1234, Category: U.S. Social Security Number (SSN), Sub-Category:
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Length: 11, Score: 0.85
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```
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## Entity linking
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Create a new function called `EntityLinkingExample()` that takes the client that you created earlier, call its `RecognizeLinkedEntities()` function and iterate through the results. The returned `Response<IReadOnlyCollection<LinkedEntity>>` represents the list of detected entities. If there was an error, it will throw a `RequestFailedException`. Since linked entities are uniquely identified, occurrences of the same entity are grouped under a `LinkedEntity` object as a list of `LinkedEntityMatch` objects.
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