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articles/cognitive-services/language-service/entity-linking/includes/quickstarts/csharp-sdk.md

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ms.service: cognitive-services
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ms.subservice: language-service
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ms.topic: include
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ms.date: 06/07/2022
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ms.date: 07/11/2022
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---
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[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.TextAnalytics/5.1.0) | [Additional samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples)
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[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet) | [Additional samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.TextAnalytics/5.1.0) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics)
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Use this quickstart to create an entity linking application with the client library for .NET. In the following example, you will create a C# application that can identify and disambiguate entities found in text.
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## Prerequisites
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articles/cognitive-services/language-service/entity-linking/includes/quickstarts/java-sdk.md

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---
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[Reference documentation](/java/api/overview/azure/ai-textanalytics-readme?preserve-view=true&view=azure-java-stable) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics) | [Package](https://mvnrepository.com/artifact/com.azure/azure-ai-textanalytics/5.1.10) | [Samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics/src/samples)
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[Reference documentation](/java/api/overview/azure/ai-textanalytics-readme?preserve-view=true&view=azure-java-stable) | [Additional samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics/src/samples) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-textanalytics/5.1.10) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create an entity linking application with the client library for Java. In the following example, you will create a Java application that can identify and disambiguate entities found in text.
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## Prerequisites
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articles/cognitive-services/language-service/entity-linking/includes/quickstarts/nodejs-sdk.md

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---
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[Reference documentation](/javascript/api/overview/azure/ai-text-analytics-readme?preserve-view=true&view=azure-node-latest) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/textanalytics/ai-text-analytics) | [Package (NPM)](https://www.npmjs.com/package/@azure/ai-text-analytics/v/5.1.0) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/textanalytics/ai-text-analytics/samples)
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[Reference documentation](/javascript/api/overview/azure/ai-text-analytics-readme?preserve-view=true&view=azure-node-latest) | [Additional samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/textanalytics/ai-text-analytics/samples) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-text-analytics/v/5.1.0) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/textanalytics/ai-text-analytics)
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Use this quickstart to create an entity linking application with the client library for Node.js. In the following example, you will create a Javascript application that can identify and disambiguate entities found in text.
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## Prerequisites
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### Install the client library
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Install the NPM package:
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Install the npm package:
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```console
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npm install @azure/[email protected]

articles/cognitive-services/language-service/entity-linking/includes/quickstarts/python-sdk.md

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ms.service: cognitive-services
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create an entity linking application with the client library for Python. In the following example, you will create a Python application that can identify and disambiguate entities found in text.
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## Prerequisites

articles/cognitive-services/language-service/entity-linking/includes/quickstarts/rest-api.md

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[Reference documentation](/rest/api/language/text-analysis-runtime/analyze-text)
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Use this quickstart to send entity linking requests using the REST API. In the following example, you will use cURL to identify and disambiguate entities found in text.
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## Prerequisites
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articles/cognitive-services/language-service/entity-linking/quickstart.md

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# Quickstart: Entity Linking using the client library and REST API
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Use this article to get started with Entity Linking using the client library and REST API. Follow these steps to try out examples code for mining text:
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[!INCLUDE [C# quickstart](includes/quickstarts/csharp-sdk.md)]

articles/cognitive-services/language-service/key-phrase-extraction/includes/quickstarts/csharp-sdk.md

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ms.service: cognitive-services
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[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.TextAnalytics/5.1.1) | [Additional samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples)
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[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet) | [Additional samples](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples) | [Package (NuGet)](https://www.nuget.org/packages/Azure.AI.TextAnalytics/5.1.1) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/textanalytics/Azure.AI.TextAnalytics)
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Use this quickstart to create a key phrase extraction application with the client library for .NET. In the following example, you will create a C# application that can identify key words and phrases found in text.
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## Prerequisites
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articles/cognitive-services/language-service/key-phrase-extraction/includes/quickstarts/java-sdk.md

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[Reference documentation](/java/api/overview/azure/ai-textanalytics-readme?preserve-view=true&view=azure-java-stable) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics) | [Package](https://mvnrepository.com/artifact/com.azure/azure-ai-textanalytics/5.1.10) | [Samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics/src/samples)
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[Reference documentation](/java/api/overview/azure/ai-textanalytics-readme?preserve-view=true&view=azure-java-stable) | [Additional samples](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics/src/samples) | [Package (Maven)](https://mvnrepository.com/artifact/com.azure/azure-ai-textanalytics/5.1.10) | [Library source code](https://github.com/Azure/azure-sdk-for-java/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a key phrase extraction application with the client library for Java. In the following example, you will create a Java application that can identify key words and phrases found in text.
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## Prerequisites
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articles/cognitive-services/language-service/key-phrase-extraction/includes/quickstarts/nodejs-sdk.md

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[Reference documentation](/javascript/api/overview/azure/ai-text-analytics-readme?preserve-view=true&view=azure-node-latest) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/textanalytics/ai-text-analytics) | [Package (NPM)](https://www.npmjs.com/package/@azure/ai-text-analytics/v/5.1.0) | [Samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/textanalytics/ai-text-analytics/samples)
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[Reference documentation](/javascript/api/overview/azure/ai-text-analytics-readme?preserve-view=true&view=azure-node-latest) | [Additional samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/textanalytics/ai-text-analytics/samples) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-text-analytics/v/5.1.0) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/textanalytics/ai-text-analytics)
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Use this quickstart to create a key phrase extraction application with the client library for Node.js. In the following example, you will create a JavaScript application that can identify key words and phrases found in text.
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## Prerequisites
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articles/cognitive-services/language-service/key-phrase-extraction/includes/quickstarts/python-sdk.md

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a key phrase extraction application with the client library for Python. In the following example, you will create a Python application that can identify key words and phrases found in text.
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## Prerequisites
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