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Important :
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

Training using Teach label (Refine)

Note: You must have assigned the Source - Read and Dataset - Review permissions as an Automation Cloud user, or the View sources and Review and annotate permissions as a legacy user.
Note: Teach label is now a training mode solely for annotating unreviewed messages and as such the reviewed filter is disabled in this mode. Teach label for reviewed messages has been split into the Check label and Missed label training modes. For more details, visit Check label and Missed label.

If you have a label that is struggling to predict accurately, and you're happy with the consistency of the already pinned examples, then it is likely that you need to provide the model with more varied and consistent training examples.

The platform will suggest this mode as a recommended action for labels that would benefit from it the most under the Model Rating factors, as well as in the recommended actions for specific labels that you can select in Validation.

The best method for training the platform on the instances where it struggles to predict whether a label applies or not, is using Teach for unreviewed messages.

As this mode shows you predictions for a label with confidence scores ranging outwards from 50%, or 66% in the case of a sentiment-enabled dataset, accepting or correcting these predictions sends much more powerful training signals to the model than if you were to accept predictions with confidence scores of 90% or more. In this way, you can quickly improve the performance of a label by providing varied training examples that the platform was previously unsure about.

The actual process of annotating in this mode is covered in the Explore phase. For more details, check Training using Teach Label (Explore).

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