Skip to main content


         This documentation site is for previous versions. Visit our new documentation site for current releases.      
 

This content has been archived and is no longer being updated.

Links may not function; however, this content may be relevant to outdated versions of the product.

Correcting training data in an email bot

Updated on July 22, 2021

When you want to improve the ability of Pega Email Bot™ to detect topics, language, and entities, you can review and correct the training data in the system. By correcting the training data and rebuilding the text analytics model, you improve the artificial intelligence of the email bot and teach it to more accurately detect the desired information in emails. The system can then suggest the right business case or email response, based on the detected information.

For example, you can correct training data related to a car insurance request for an email bot, so that later the system correctly identifies a car insurance topic and entities related to a car make and model.
Before you begin: Enable recording of training data. For more information, see Enabling the training data recording for an email bot. When you enable the recording of training data and the email bot receives an email, the system saves the email as a training record. (You can also manually create a training record that contains sample information for an email from a user). Once you correct the data detected in the training record, you mark the record as reviewed. The system then uses the reviewed training data to rebuild the improved text analytics model.
  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 Spanish language, select Spanish.
  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. Correct the data fore the training record:
    ChoicesActions
    Modify text
    1. In the Review training data pane, click the More icon, and then click Edit.
    2. In the Update text window, edit the text for the training record, and then click OK.
    Update the topic to be detected
    1. In the Topic field in the NLP analysis section, press the Down arrow key.
    2. Select a more appropriate topic for the training record.

    For example, to correct a training record so that its intent relates to car insurance, select Car insurance.

    Update the language to be detectedIn the NLP analysis section, in the Language list, select a language.
    Add new entries
    1. In the Review training data section, in the data record content, highlight and right-click the text that you want to map to the new entity, and then click New entity.
    2. In the Create new entity window, in the Entity name field, enter a name for the entity, and then click Submit.

    For example, to create an entity for a car make, highlight the word Ford and enter Car Make as the new entity.

    Updating existing entitiesIn the Review training data section, in the data record content, highlight and right-click the text for an existing entity, and then click the name of another entity.

    For example, to make sure the car make in the text maps to the CarMake entity, highlight and right-click Ford, and then click #CarMake.

  7. Optional: To use this training record to improve the artificial intelligence of your email bot, in the Review training data section, click Mark reviewed.
  8. Optional: To correct the identified topics in additional training records, repeat steps 5 through 7.
  9. Click Save.
What to do next: Teach the email bot the reviewed and corrected training records by rebuilding the text analytics model. For more information, see Applying changes to a text analytics model for an email bot.
  • Previous topic Creating training data manually for an email bot
  • Next topic Transferring training data to another email bot

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us