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#Customer intent: As a potential customer, I want to know more about how Cognitive Services provides and supports Docker containers for each service.
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| Service | Container | Description | Availability |
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|--|--|--|--|
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|[LUIS][lu-containers]|**LUIS** ([image](https://go.microsoft.com/fwlink/?linkid=2043204&clcid=0x409)) | Loads a trained or published Language Understanding model, also known as a LUIS app, into a docker container and provides access to the query predictions from the container's API endpoints. You can collect query logs from the container and upload these back to the [LUIS portal](https://www.luis.ai) to improve the app's prediction accuracy. | Generally available |
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|[Language service][ta-containers-keyphrase]|**Key Phrase Extraction** ([image](https://go.microsoft.com/fwlink/?linkid=2018757&clcid=0x409)) | Extracts key phrases to identify the main points. For example, for the input text "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff". |Preview|
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|[Language service][ta-containers-keyphrase]|**Key Phrase Extraction** ([image](https://go.microsoft.com/fwlink/?linkid=2018757&clcid=0x409)) | Extracts key phrases to identify the main points. For example, for the input text "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff". |Generally available|
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|[Language service][ta-containers-language]|**Text Language Detection** ([image](https://go.microsoft.com/fwlink/?linkid=2018759&clcid=0x409)) | For up to 120 languages, detects which language the input text is written in and report a single language code for every document submitted on the request. The language code is paired with a score indicating the strength of the score. | Generally available |
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|[Language service][ta-containers-sentiment]|**Sentiment Analysis** ([image](https://go.microsoft.com/fwlink/?linkid=2018654&clcid=0x409)) | Analyzes raw text for clues about positive or negative sentiment. This version of sentiment analysis returns sentiment labels (for example *positive* or *negative*) for each document and sentence within it. | Generally available |
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|[Language service][ta-containers-health]|**Text Analytics for health**| Extract and label medical information from unstructured clinical text. |Preview|
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|[Language service][ta-containers-health]|**Text Analytics for health**| Extract and label medical information from unstructured clinical text. |Generally available|
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|[Translator][tr-containers]|**Translator**| Translate text in several languages and dialects. | Gated preview. [Request access](https://aka.ms/csgate-translator). |
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