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Communications Mining User Guide

Last updated Nov 27, 2024

Training

Training, or Model Training, is the process by which a user teaches Communications Mining™ what labels and general fields apply to messages, so that it can apply this understand at scale across the entire dataset.

A user trains by manually reviewing messages and applying all the labels and general fields that are relevant.

Each time a user spends some time reviewing messages, it triggers a re-training event where the platform uses the newly reviewed messages to improve its understanding of the label concepts and general fields.

After each re-training event, the model re-reviews all of the unreviewed messages in the dataset and updates the predicted labels and general fields and their associated confidence scores (and sentiment for labels if label sentiment is enabled).

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