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

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create an entity linking application with the client library for Python. In the following example, you will create a Python application that can identify and disambiguate entities found in text.
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articles/cognitive-services/language-service/key-phrase-extraction/includes/quickstarts/python-sdk.md

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a key phrase extraction application with the client library for Python. In the following example, you will create a Python application that can identify key words and phrases found in text.
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articles/cognitive-services/language-service/language-detection/includes/quickstarts/python-sdk.md

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a language detection application with the client library for Python. In the following example, you will create a Python application that can identify the language a text sample was written in.

articles/cognitive-services/language-service/named-entity-recognition/includes/quickstarts/python-sdk.md

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a Named Entity Recognition (NER) application with the client library for Python. In the following example, you will create a Python application that can identify [recognized entities](../../concepts/named-entity-categories.md) in text.
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articles/cognitive-services/language-service/personally-identifiable-information/includes/quickstarts/python-sdk.md

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a Personally Identifiable Information (PII) detection application with the client library for Python. In the following example, you'll create a Python application that can identify [recognized sensitive information](../../concepts/entity-categories.md) in text.
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articles/cognitive-services/language-service/sentiment-opinion-mining/includes/quickstarts/python-sdk.md

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a sentiment analysis application with the client library for Python. In the following example, you will create a Python application that can identify the sentiment(s) expressed in a text sample, and perform aspect-based sentiment analysis.
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articles/cognitive-services/language-service/summarization/includes/quickstarts/python-sdk.md

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# [Document summarization](#tab/document-summarization)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python-preview) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.2.0b1/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python-preview) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.2.0b1/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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# [Conversation summarization](#tab/conversation-summarization)
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[Reference documentation](/python/api/overview/azure/ai-language-conversations-readme?preserve-view=true&view=azure-python-preview) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/blob/azure-ai-language-conversations_1.1.0b2/sdk/cognitivelanguage/azure-ai-language-conversations/samples/README.md) | [Package (PiPy)](https://pypi.org/project/azure-ai-language-conversations/1.1.0b2/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/azure-ai-language-conversations_1.1.0b2/sdk/cognitivelanguage/azure-ai-language-conversations)
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[Reference documentation](/python/api/overview/azure/ai-language-conversations-readme?preserve-view=true&view=azure-python-preview) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/blob/azure-ai-language-conversations_1.1.0b2/sdk/cognitivelanguage/azure-ai-language-conversations/samples/README.md) | [Package (PyPi)](https://pypi.org/project/azure-ai-language-conversations/1.1.0b2/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/azure-ai-language-conversations_1.1.0b2/sdk/cognitivelanguage/azure-ai-language-conversations)
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articles/cognitive-services/language-service/text-analytics-for-health/includes/quickstarts/python-sdk.md

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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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[Reference documentation](/python/api/azure-ai-textanalytics/azure.ai.textanalytics?preserve-view=true&view=azure-python) | [Additional samples](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics/samples) | [Package (PyPi)](https://pypi.org/project/azure-ai-textanalytics/5.1.0/) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/textanalytics/azure-ai-textanalytics)
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Use this quickstart to create a Text Analytics for health application with the client library for Python. In the following example, you will create a Python application that can identify medical [entities](../../concepts/health-entity-categories.md), [relations](../../concepts/relation-extraction.md), and [assertions](../../concepts/assertion-detection.md) that appear in text.

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