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@@ -205,7 +205,7 @@ This section will help you decide which Language service feature you should use
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| Extract categories of information without creating a custom model. | Unstructured text | The [preconfigured NER feature](./named-entity-recognition/overview.md)||
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| Extract categories of information using a model specific to your data. | Unstructured text |[Custom NER](./custom-named-entity-recognition/overview.md)| ✓ |
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|Extract main topics and important phrases. | Unstructured text |[Key phrase extraction](./key-phrase-extraction/overview.md)||
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| Determine the sentiment and opinions expressed in text. | Unstructured text |[Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md)||
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| Determine the sentiment and opinions expressed in text. | Unstructured text |[Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md)|✓ |
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| Summarize long chunks of text or conversations. | Unstructured text, <br> transcribed conversations. |[Summarization](./summarization/overview.md)||
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| Disambiguate entities and get links to Wikipedia. | Unstructured text |[Entity linking](./entity-linking/overview.md)||
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| Classify documents into one or more categories. | Unstructured text |[Custom text classification](./custom-text-classification/overview.md)| ✓|
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6.**Classify text**: Use your custom model for sentiment analysis tasks.
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## Development options
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|Development option |Description |
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|---------|---------|
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|Language studio | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. |
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|REST API | Integrate sentiment analysis into your applications programmatically using the REST API. |
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For more information, see [sentiment analysis quickstart](./custom/quickstart.md).
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## Reference documentation
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As you use Custom sentiment analysis, see the following reference documentation and samples for the Language service:
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