Editing data records

When you enable the recording of training data and Pega Email Bot receives emails, the system saves the content of each email as a training data record. You can then edit this training data before it is added to the model, to remove irrelevant content and fix grammatical or formatting errors in the record. This ensures that your training data is of high quality, so that the text analytics model is only trained using the most relevant, correct topics, entities, and language.

1. In the header of Dev Studio, click the name of the application, and then click Channels and interfaces.
2. In the Current channel interfaces section, click the icon that represents your existing Email channel.
3. In the Email channel, 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 German language, select German.
5. In the list of training records, select a data record.
   Result: The Review training data section displays the detected entities, and the NLP analysis section displays the detected language, topic, and entity types for the training data record.
6. In the Review training data pane, click the More icon, and then click Edit.
7. In the Update text window, edit the text for the training record, and then click OK.
8. Optional: To use this training record to improve the artificial intelligence of the email bot, in the Review training data section, click Mark reviewed.
9. Optional: To edit additional records for the email bot, repeat steps 4 through 8.
10. Click Save.