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Communications Mining is now part of UiPath IXP. Check the Introduction in the Overview Guide for more details.
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Communications Mining user guide

Last updated Aug 1, 2025

Models

A machine learning (ML) model is essentially a mathematical representation of a real-world process. To create ML models, you need to provide ML algorithms with training data from which they can learn.

The platform uses a number of ML models, both supervised and unsupervised, in order to interpret, understand, and apply labels to your data. We often use the term model to refer collectively to these models working behind the scenes.

Every dataset has a model associated with it that is trained as you review messages within the platform. As the model trains, it learns and improves, enabling it to make better predictions for labels and general fields.

You can save and version models. This means that when you set up an automation stream, you can select a specific version of the model, and can be confident in the performance of that version for the label in question. This gives you determinism when it comes to creating automations or using the data for analytics in downstream applications. For more details, check Models.

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