To ensure that Pega Email Bot™ interprets emails in the
correct way, manually create training records in the system. Training records provide
valuable information for the email bot that strengthens the artificial intelligence
algorithms and improves the accuracy of your text analytics model. By training the
model, you ensure that the email bot detects the correct topics, entities, and
For example, you can add a training record that specifies a
request for an insurance quote for a 1968 Ford Mustang GT. If you connect that record to a
car insurance topic, the system learns to associate this information with a car insurance
Before you begin: Enable the recording of training data to gather training records when the system
receives emails from users. For more information, see Enabling the training data recording for an email bot.
You review the training data before applying the changes to the text analytics
In the navigation pane of
App Studio, click Channels.
In the Current channel interfaces section, click the icon
that represents your existing Email channel.
On the Email channel configuration page, click the Training
In the toolbar, click Add records.
If you configure multiple languages for the email bot, in the
Creating new training record window, in the
Language list, select the language for the training
record, for example, English.
In the Topic field, press the Down arrow key, and then
select a name of a topic to which the training record relates, for example,
In the field area below the Topic field, enter the text
for the training record.
The text must be a good representation of sample user input from which the
email bot can learn to respond to emails.
For example: Hi, I would like to obtain a car insurance quote for my 1968
Ford Mustang GT. Thank you for your help, Andrew.
Click Create record.Result: The system displays the training record in the list on the
Training data tab. The Review training
data section displays the training record contents with the
detected entities highlighted. The NLP analysis section
displays the detected language, topic, and entity types that are used in the
Optional: To add more training records for the email bot, repeat steps 4 through