To train Pega Email Bot™ to make better email content
predictions, enable the recording of training data in the system. You can then edit and
classify the training data in the system by reviewing records and applying changes to
the text analytics model. With these tasks, you ensure that the email bot detects the
correct topics and entities.
In the header of Dev Studio, click the name of the application, and then click
Channels and interfaces.
In the Current channel interfaces section, click the icon
that represents your existing Email channel.
On the Email channel configuration page, click the
In the Text Analyzer section, activate the recording of
For the default text analyzer
Select the Record training data
For an advanced configuration
In the text analyzer list, click the Switch to
edit mode icon for a text analyzer.
In the Text analyzer configuration
window, select the Enable model
training check box.
For example: The following figure shows the Text analyzer configuration
window, with the model training setting enabled for an email bot:What to do next: Improve the text analytics model by manually creating data records for the email
bot. For more information, see Creating training data manually for an email bot.