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Copy file name to clipboardExpand all lines: articles/synapse-analytics/machine-learning/overview-cognitive-services.md
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ms.reviewer: sngun, garye, negust, ruxu
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author: WilliamDAssafMSFT
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ms.author: wiassaf
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ms.custom:ignite-fall-2021
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ms.date: 02/13/2023
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ms.custom:
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ms.date: 02/14/2023
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---
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# Cognitive Services in Azure Synapse Analytics
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- Starting from the PySpark code generated by the wizard, or the example SynapseML code provided in the tutorial, you can write your own code to use other cognitive services with your data. See [What are Azure Cognitive Services?](../../cognitive-services/what-are-cognitive-services.md) for more information about available services.
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## Get started
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The tutorial, [Pre-requisites for using Cognitive Services in Azure Synapse](tutorial-configure-cognitive-services-synapse.md), walks you through a couple steps you need to perform before using Cognitive Services in Synapse Analytics.
:::image type="content" source="media/overview-cognitive-services/cog_services_on_spark_2.svg" alt-text="Decorative image of SynapseML Cognitive Services":::
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[Azure Cognitive Services](https://azure.microsoft.com/services/cognitive-services/) are a suite of APIs, SDKs, and services available to help developers build intelligent applications without having direct AI or data science skills or knowledge by enabling developers to easily add cognitive features into their applications. The goal of Azure Cognitive Services is to help developers create applications that can see, hear, speak, understand, and even begin to reason. The catalog of services within Azure Cognitive Services can be categorized into five main pillars - Vision, Speech, Language, Web Search, and Decision.
- Describe: provides description of an image in human readable language ([Scala](https://mmlspark.blob.core.windows.net/docs/0.10.2/scala/com/microsoft/azure/synapse/ml/cognitive/DescribeImage.html), [Python](https://mmlspark.blob.core.windows.net/docs/0.10.2/pyspark/synapse.ml.cognitive.html#module-synapse.ml.cognitive.DescribeImage))
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- Analyze (color, image type, face, adult/racy content): analyzes visual features of an image ([Scala](https://mmlspark.blob.core.windows.net/docs/0.10.2/scala/com/microsoft/azure/synapse/ml/cognitive/AnalyzeImage.html), [Python](https://mmlspark.blob.core.windows.net/docs/0.10.2/pyspark/synapse.ml.cognitive.html#module-synapse.ml.cognitive.AnalyzeImage))
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1. Follow the steps in [Getting started](../cognitive-services/big-data/getting-started) to set up your Azure Databricks and Cognitive Services environment. This tutorial shows you how to install SynapseML and how to create your Spark cluster in Databricks.
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1. After you create a new notebook in Azure Databricks, copy the **Shared code** below and paste into a new cell in your notebook.
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1. Choose a service sample, below, and copy paste it into a second new cell in your notebook.
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1. Follow the steps in [Getting started](../../cognitive-services/big-data/getting-started) to set up your Azure Databricks and Cognitive Services environment. This tutorial shows you how to install SynapseML and how to create your Spark cluster in Databricks.
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1. After you create a new notebook in Azure Databricks, copy the following **Shared code** and paste into a new cell in your notebook.
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1. Choose one of the following service samples and copy paste it into a second new cell in your notebook.
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1. Replace any of the service subscription key placeholders with your own key.
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1. Choose the run button (triangle icon) in the upper right corner of the cell, then select **Run Cell**.
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1. View results in a table below the cell.
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## Text Analytics for Health Sample
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The [Text Analytics for Health Service](../cognitive-services/language-service/text-analytics-for-health/overview?tabs=ner) extracts and labels relevant medical information from unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records.
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The [Text Analytics for Health Service](../../cognitive-services/language-service/text-analytics-for-health/overview?tabs=ner) extracts and labels relevant medical information from unstructured texts such as doctor's notes, discharge summaries, clinical documents, and electronic health records.
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