> For the complete documentation index, see [llms.txt](https://docs.datasaur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datasaur.ai/assisted-labeling/ml-assisted-labeling/amazon-comprehend.md). # Amazon Comprehend Enable your integration with models from Amazon Comprehend. {% hint style="info" %} **Supported labeling types**: Row labeling. {% endhint %} **ML-assisted labeling** supports models from Amazon Comprehend. If you already have data and training pipelines in Amazon Comprehend, you can utilize your trained model to enhance the performance. ## Enable ML-assisted labeling extension 1. [Create a custom project](/data-studio-projects/creating-a-project.md) for row labeling. 2. Click the gear icon in the extension panel on the right to open the **Manage extensions** dialog. 3. From the **Manage extensions** dialog, enable the **ML-assisted labeling** extension.

Manage extensions dialog

4. Once enabled, select **Amazon Comprehend** as the service provider.
Image of ML Assisted with Amazon Comprehend
## Setup role in AWS Identity and Access Management (IAM) Before creating a role in the **IAM** page, create the required policies to define permissions for the new role. 1. Go to your **IAM** page, navigate to the **Policies** section, and then create a new policy. 2. Download the example below and add it. {% file src="/files/xJps9ytUtC28gf1EsYXs" %} After that, proceed to create a new role: 1. Go to the **IAM** page and navigate to the **Roles** section. 2. Click **Create role**, then select **AWS account** as the role type. 3. Enter the **Account ID** and **External ID**. These values are automatically generated within the Datasaur **ML-assisted labeling** extension and can be copied into AWS.
Image of Select trusted entity Menu

Select trusted entity

4. On the **Add permissions** step, search for the policy you created earlier and add it to the permissions.
Image of Add permissions page

Add permissions

5. Provide a role name and click **Create role.** The role will be created successfully.
Image of Role Creation
6. View your role and copy the **Role ARN**.
Image of Role Menu to copy Role ARN

Role ARN

7. Paste this information into the **ML-assisted labeling** extension. 8. Go back to the **Amazon Comprehend** page and retrieve the **Endpoint ARN**. Copy it and paste it into the extension.
Image of Endpoint Details

Endpoint details

## Start prediction Once you have configured the settings, click **Predict labels** to generate predictions from your model.
Image of Prediction result

Prediction results