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articles/cognitive-services/text-analytics/includes/quickstarts/java-sdk.md

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> [!TIP]
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> Want to view the whole quickstart code file at once? You can find it [on GitHub](https://github.com/Azure-Samples/cognitive-services-quickstart-code/blob/master/java/TextAnalytics/TextAnalyticsSamples.java), which contains the code examples in this quickstart.
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Open the java file and add the following `import` statements:
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Create a Java file named `TextAnalyticsSamples.java`. Open the file and add the following `import` statements:
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```java
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import com.azure.ai.textanalytics.models.*;

articles/cognitive-services/text-analytics/includes/quickstarts/nodejs-sdk.md

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In a console window (such as cmd, PowerShell, or Bash), create a new directory for your app, and navigate to it.
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```console
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mkdir myapp && cd myapp
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mkdir myapp
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cd myapp
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```
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Run the `npm init` command to create a node application with a `package.json` file.

articles/cognitive-services/text-analytics/quickstarts/text-analytics-sdk.md

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> [!IMPORTANT]
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> * This quickstart is only for version `3.0-preview` of the Text Analytics client library, which includes a public preview for improved [Sentiment Analysis](../how-tos/text-analytics-how-to-sentiment-analysis.md#sentiment-analysis-versions-and-features) and [Named Entity Recognition (NER)](../how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features).
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> * Be sure to only follow the instructions for the version you are using.
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> * The code in this article uses synchronous methods and un-secured credentials storage for simplicity reasons. For production scenarios, we recommend using the batched asynchronous methods for performance and scalability. See the reference documentation below.
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[!INCLUDE [Java quickstart](../includes/quickstarts/java-sdk.md)]

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