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 conversation to a case type.
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In the header of Dev Studio, click the name of the application, and then click
Channels and interfaces.
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In the Current channel interfaces section, click the icon
that represents your existing Alexa, Unified Messaging, or Web
Chatbot channel.
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In the channel, click the Behavior tab.
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At the top of the preview console, turn on the Show
analysis switch.
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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.
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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.
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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.
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To create more entities for detection in user input, repeat steps 6 through 7.
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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.