# UiPath Communications Mining

## Overview

Enate provides easy integration with UiPath Communications Mining to support communication analysis and to help automate your processes. 

The Marketplace section in Enate Builder is where you can create and maintain your UiPath Communications Mining connections.

## Sample Integration Patterns Using UiPath Communications Mining

{% content-ref url="/pages/sO7YyAxmsKgdezz9eZaE" %}
[Auto-classify emails - Email Classification](/enate-help/integrations/enate-integrations/auto-classify-emails-email-classification.md)
{% endcontent-ref %}

{% content-ref url="/pages/yEV57JHbh9kRjDPkGwXt" %}
[Analyse sentiment in emails -  Sentiment Analysis](/enate-help/integrations/enate-integrations/analyse-sentiment-in-emails-sentiment-analysis.md)
{% endcontent-ref %}

{% content-ref url="/pages/IoS5BdK4ftb1Uo66GXqe" %}
[Auto-evaluate 'Thank You' emails -Thank You Email Evaluation](/enate-help/integrations/enate-integrations/auto-evaluate-thank-you-emails-thank-you-email-evaluation.md)
{% endcontent-ref %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.enate.net/enate-help/integrations/enate-integrations/uipath-communications-mining.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.