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

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ms.custom: ignite-fall-2021
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---
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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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[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 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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‎articles/cognitive-services/language-service/key-phrase-extraction/includes/quickstarts/nodejs-sdk.md

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async function keyPhraseExtraction(client){
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const keyPhrasesInput = [
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"My cat might need to see a veterinarian.",
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"Dr. Smith has a very modern medical office, and she has great staff.",
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];
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const keyPhraseResult = await client.extractKeyPhrases(keyPhrasesInput);
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```console
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ID: 0
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Document Key Phrases: cat,veterinarian
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Document Key Phrases: modern medical office,Dr. Smith,great staff
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```
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> [!div class="nextstepaction"]

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

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---
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[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet-preview) | [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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[Reference documentation](/dotnet/api/azure.ai.textanalytics?preserve-view=true&view=azure-dotnet-preview) | [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 language detection application with the client library for .NET. In the following example, you will create a C# application that can identify the language a text sample was written in.
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Using the Visual Studio IDE, create a new .NET Core console app. This will create a "Hello World" project with a single C# source file: *program.cs*.
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Install the client library by right-clicking on the solution in the **Solution Explorer** and selecting **Manage NuGet Packages**. In the package manager that opens select **Browse** and search for `Azure.AI.TextAnalytics`. Select version `5.1.0`, and then **Install**. You can also use the [Package Manager Console](/nuget/consume-packages/install-use-packages-powershell#find-and-install-a-package).
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Install the client library by right-clicking on the solution in the **Solution Explorer** and selecting **Manage NuGet Packages**. In the package manager that opens select **Browse** and search for `Azure.AI.TextAnalytics`. Select version `5.1.1`, and then **Install**. You can also use the [Package Manager Console](/nuget/consume-packages/install-use-packages-powershell#find-and-install-a-package).
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> [!div class="nextstepaction"]

‎articles/cognitive-services/language-service/sentiment-opinion-mining/includes/quickstarts/csharp-sdk.md

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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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[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 sentiment analysis application with the client library for .NET. In the following example, you will create a C# application that can identify the sentiment(s) expressed in a text sample, and perform aspect-based sentiment analysis.
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Using the Visual Studio IDE, create a new .NET Core console app. This will create a "Hello World" project with a single C# source file: *program.cs*.
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Install the client library by right-clicking on the solution in the **Solution Explorer** and selecting **Manage NuGet Packages**. In the package manager that opens select **Browse** and search for `Azure.AI.TextAnalytics`. Select version `5.1.0`, and then **Install**. You can also use the [Package Manager Console](/nuget/consume-packages/install-use-packages-powershell#find-and-install-a-package).
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Install the client library by right-clicking on the solution in the **Solution Explorer** and selecting **Manage NuGet Packages**. In the package manager that opens select **Browse** and search for `Azure.AI.TextAnalytics`. Select version `5.1.1`, and then **Install**. You can also use the [Package Manager Console](/nuget/consume-packages/install-use-packages-powershell#find-and-install-a-package).
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> [!div class="nextstepaction"]
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> <a href="https://microsoft.qualtrics.com/jfe/form/SV_0Cl5zkG3CnDjq6O?PLanguage=CSHARP&Pillar=Language&Product=Sentiment-analysis&Page=quickstart&Section=Set-up-the-environment" target="_target">I ran into an issue</a>
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```console
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Document sentiment: Positive
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Text: "I had the best day of my life."
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Text: "I had the best day of my life. "
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Sentence sentiment: Positive
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Positive score: 1.00
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Positive score: 0.99
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Negative score: 0.00
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Text: "I wish you were there with me."
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Sentence sentiment: Neutral
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Positive score: 0.21
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Negative score: 0.02
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Positive score: 0.25
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Negative score: 0.03
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Positive score: 0.84
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Positive score: 0.76
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Negative score: 0.23
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Text: "The food and service were unacceptable, but the concierge were nice."
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Sentence sentiment: Positive
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Sentence positive score: 0.84
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Sentence negative score: 0.16
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Sentence positive score: 0.76
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Sentence negative score: 0.23
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Target: food, Value: Negative
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Target positive score: 0.01
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Target positive score: 0.00
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Target negative score: 1.00
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Related Assessment: unacceptable, Value: Negative
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Related Assessment positive score: 0.01
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Related Assessment positive score: 0.00
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Related Assessment negative score: 1.00
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Target: service, Value: Negative
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Target negative score: 1.00
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Related Assessment: unacceptable, Value: Negative
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Related Assessment negative score: 1.00
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