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An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for entity linking](/legal/cognitive-services/language-service/transparency-note?context=/azure/cognitive-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
Use the available Docker container to [deploy this feature on-premises](how-to/use-containers.md). These docker containers enable you to bring the service closer to your data for compliance, security, or other operational reasons.
An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for NER](/legal/cognitive-services/language-service/transparency-note-named-entity-recognition?context=/azure/cognitive-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
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@@ -37,15 +37,15 @@ Azure Cognitive Service for Language provides the following features:
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> |[Key phrase extraction](key-phrase-extraction/overview.md)| This pre-configured feature evaluates unstructured text, and for each input document, returns a list of key phrases and main points in the text. | * [Language Studio](language-studio.md) <br> * [REST API and client-library](key-phrase-extraction/quickstart.md) <br> * [Docker container](key-phrase-extraction/how-to/use-containers.md)|
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> |[Entity linking](entity-linking/overview.md)| This pre-configured feature disambiguates the identity of an entity found in text and provides links to the entity on Wikipedia. | * [Language Studio](language-studio.md) <br> * [REST API and client-library](entity-linking/quickstart.md)|
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> |[Text Analytics for health](text-analytics-for-health/overview.md)| This pre-configured feature extracts information from unstructured medical texts, such as clinical notes and doctor's notes. | * [Language Studio](language-studio.md) <br> * [REST API and client-library](text-analytics-for-health/quickstart.md) <br> * [Docker container](text-analytics-for-health/how-to/use-containers.md)|
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> |[Custom NER](custom-named-entity-recognition/overview.md)| Build an AI model to extract custom entity categories, using unstructured text that you provide. | * [Language Studio](custom-named-entity-recognition/quickstart.md?pivots=language-studio) <br> * [REST API](custom-named-entity-recognition/quickstart.md?pivots=rest-api)|
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> |[Custom NER](custom-named-entity-recognition/overview.md)| Build an AI model to extract custom entity categories, using unstructured text that you provide. | * [Language Studio](custom-named-entity-recognition/quickstart.md?pivots=language-studio) <br> * [REST API](custom-named-entity-recognition/quickstart.md?pivots=rest-api)<br> * [client-library (prediction only)](custom-named-entity-recognition/how-to/call-api.md)|
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> | [Analyze sentiment and opinions](sentiment-opinion-mining/overview.md) | This pre-configured feature provides sentiment labels (such as "*negative*", "*neutral*" and "*positive*") for sentences and documents. This feature can additionally provide granular information about the opinions related to words that appear in the text, such as the attributes of products or services. | * [Language Studio](language-studio.md) <br> * [REST API and client-library](sentiment-opinion-mining/quickstart.md) <br> * [Docker container](sentiment-opinion-mining/how-to/use-containers.md)
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> |[Language detection](language-detection/overview.md)| This pre-configured feature evaluates text, and determines the language it was written in. It returns a language identifier and a score that indicates the strength of the analysis. | * [Language Studio](language-studio.md) <br> * [REST API and client-library](language-detection/quickstart.md) <br> * [Docker container](language-detection/how-to/use-containers.md)|
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> |[Custom text classification](custom-classification/overview.md)| Build an AI model to classify unstructured text into custom classes that you define. | * [Language Studio](custom-classification/quickstart.md?pivots=language-studio)<br> * [REST API](language-detection/quickstart.md?pivots=rest-api)|
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> |[Custom text classification](custom-classification/overview.md)| Build an AI model to classify unstructured text into custom classes that you define. | * [Language Studio](custom-classification/quickstart.md?pivots=language-studio)<br> * [REST API](custom-classification/quickstart.md?pivots=rest-api) <br> * [client-library (prediction only)](custom-text-classification/how-to/call-api.md)|
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> |[Document summarization (preview)](summarization/overview.md?tabs=document-summarization)| This pre-configured feature extracts key sentences that collectively convey the essence of a document. | * [Language Studio](language-studio.md) <br> * [REST API and client-library](summarization/quickstart.md)|
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> |[Conversation summarization (preview)](summarization/overview.md?tabs=conversation-summarization)| This pre-configured feature summarizes issues and summaries in transcripts of customer-service conversations. | * [Language Studio](language-studio.md) <br> * [REST API](summarization/quickstart.md?tabs=rest-api)|
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> | [Conversational language understanding](conversational-language-understanding/overview.md) | Build an AI model to bring the ability to understand natural language into apps, bots, and IoT devices. | * [Language Studio](conversational-language-understanding/quickstart.md)
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> |[Conversational language understanding](conversational-language-understanding/overview.md)| Build an AI model to bring the ability to understand natural language into apps, bots, and IoT devices. | * [Language Studio](conversational-language-understanding/quickstart.md?pivots=language-studio) <br> * [REST API](conversational-language-understanding/quickstart.md?pivots=rest-api) <br> * [client-library (prediction only)](conversational-language-understanding/how-to/call-api.md)|
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> |[Question answering](question-answering/overview.md)| This pre-configured feature provides answers to questions extracted from text input, using semi-structured content such as: FAQs, manuals, and documents. | * [Language Studio](language-studio.md) <br> * [REST API and client-library](question-answering/quickstart/sdk.md)|
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> |[Orchestration workflow](orchestration-workflow/overview.md)| Train language models to connect your applications to question answering, conversational language understanding, and LUIS | * [Language Studio](orchestration-workflow/quickstart.md?pivots=language-studio) <br> * [REST API](orchestration-workflow/quickstart.md?pivots=rest-api)|
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> |[Orchestration workflow](orchestration-workflow/overview.md)| Train language models to connect your applications to question answering, conversational language understanding, and LUIS | * [Language Studio](orchestration-workflow/quickstart.md?pivots=language-studio) <br> * [REST API](orchestration-workflow/quickstart.md?pivots=rest-api)<br> * [client-library (prediction only)](orchestration-workflow/how-to/call-api.md)|
An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for PII](/legal/cognitive-services/language-service/transparency-note-personally-identifiable-information?context=/azure/cognitive-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
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An AI system includes not only the technology, but also the people who will use it, the people who will be affected by it, and the environment in which it is deployed. Read the [transparency note for sentiment analysis](/legal/cognitive-services/language-service/transparency-note-sentiment-analysis?context=/azure/cognitive-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
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[!INCLUDE [Responsible AI links](../includes/overview-responsible-ai-links.md)]
As you use Text Analytics for health in your applications, see the following reference documentation and samples for Azure Cognitive Services for Language:
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|Development option / language |Reference documentation |Samples |
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|---------|---------|---------|
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|REST API |[REST API documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-2-Preview-2/operations/Analyze)||
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