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Applying changes to a text analytics model for an email bot

Updated on March 29, 2023

To add the reviewed training records to Pega Email Bot™ so that the system recognizes more information in emails, apply the modified records to the text analytics model. By applying these changes, you can build the model with additional classified training data, which improves how the email bot responds to emails by detecting the correct topic, entities, and language using text analysis.

The email bot records training data when a CSR creates a related business case manually for an email triage case or a CSR selects a reply from the suggested reply list.
Note: You can apply changes to the text analytics model only if training data exists for the Email channel.
Before you begin: Prepare sample training data for the text analytics model:
  1. Start the recording of training data in the email bot. For more information, see Enabling the training data recording for an email bot
  2. Modify training data in the email bot. For more information, see Correcting training data in an email bot.
  3. Add sample training data to the system. For more information, see Creating training data manually for an email bot.
  1. In the navigation pane of App Studio, click Channels.
  2. In the Current channel interfaces section, click the icon that represents your existing Email channel.
  3. On the Email channel configuration page, click the Training data tab.
  4. Optional: If you configure multiple languages for the email bot, to filter data records by a language, in the Language list, select a language.
    For example: To display data records only detected in the English language, select English.
  5. In the list of training records, select the checkboxes for the records that you want to add to the model, and then click Mark reviewed.
  6. Click the More icon next to the Add records button, and then click Build model.
What to do next: Verify the text analytics model for the email bot by testing how the system responds to sample email data.

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