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Extracting data from a conversation

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You can create and update entities from the preview console of the Pega Intelligent Virtual Assistant (IVA) and then update the text analytics model with this information. You then map the extracted entity values into case properties, creating a richer and more conversational experience for the end user.

Perform the following tasks for an IVA channel:
  1. Define new entities for use by your chatbot.

    For more information, see Creating entities for an IVA.

  2. Link entities to the properties of a case type.

    For more information, see Mapping entities in conversation text.

Make the IVA learn from the corrected topics and validated entities by building the text analytics model.

  • Simulating a conversation and building a chatbot

    Before moving Pega Intelligent Virtual Assistant (IVA) to a production environment, you can verify whether the chatbot works correctly by using the preview console. You use the preview console to simulate a chatbot conversation and ensure that the IVA knows how to correctly respond to user input. Working in the preview console also improves the text analysis and artificial intelligence of the IVA channel.

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