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.
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 case.
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
data tab.
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,
Car insurance.
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
training data.
Optional: To add more training records for the email bot, repeat steps 4 through
8.
Click Save.
For example: Sample training data on the Training Data tab
