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Creating entities for an IVA

Updated on February 10, 2022

Ensure that Pega Intelligent Virtual Assistant™ (IVA) detects the correct information in chat sessions by creating entities. Entities enable the IVA to extract pieces of data from within a chat message, such as a location, date, or postal code. For example, if you want the system to detect vehicle makes in user input, you can create the CarMake entity. At run time, your IVA then uses the detected information and maps it to case type properties, to provide the correct response to user requests and save time for the users handing the case.

Before you begin: For the IVA to respond to user input by creating a case and asking questions, add a conversation to a case type in your application. For more information, see Adding a case type conversation process for a conversational channel.
  1. In the navigation pane of App Studio, click Channels.
  2. In the Current channel interfaces section, click the icon that represents your existing Digital Messaging or Alexa channel.
  3. In the channel, click the Behavior tab.
  4. If you configure multiple languages for the chatbot, at the top-right of the preview console, select a language.
  5. Turn on the Show analysis switch.
  6. In the preview console, in the right panel input field, enter a sample question.
    For example: For car insurance quote, enter: I would like to request a car insurance quote for my Ford Mustang GT.
    Result: The analysis in the preview console shows the sentiment of the user input (positive, negative, neutral), the detected topic, the confidence in the detected topic (as a percentage), and the detected entities.
  7. In the displayed text for the question that you entered in the previous step, in the create case section, highlight and right-click the text that you want to map to the new entity, and then click New entity.
    For example: To select a car make in the user input, highlight the word Ford.
  8. 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, enter Car Make.
  9. To create more entities for detection in user input, repeat steps 7 through 8.
  10. Click Save.
What to do next: Make the IVA learn from the created entities by building the text analytics model. For more information, see Applying simulation changes to a text analytics model.

Related articles

Mapping entities in conversation textSimulating a conversation and building a chatbot

Tags

Pega Platform 8.7 Conversational Channels

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