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Configuring text analyzer settings


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Improve the way Pega Intelligent Virtual Assistant (IVA) responds to user input by configuring text analyzers. The IVA uses natural language processing (NLP) and adaptive analytics text analyzers to detect entities, topics, sentiment, and language in the interaction with the user.

Define the ways for the IVA to respond to user input. For more information, see Defining response commands for a conversational channel .
  1. Configure text analyzers for the IVA so that the system uses natural language processing (NLP) and adaptive analytics text analysis in the interaction with the user.

    For more information, see Adding a text analyzer for an IVA.

  2. Define topics, the general subject, the intent of user input that is detected by the IVA using text analysis.

    For more information, see Defining topics for text analysis for an IVA.

  3. Click Save.

Configure system responses for the IVA. For more information, see Configuring system responses for a conversational channel.

  • Exploring text analyzers

    Text analyzers for Pega Intelligent Virtual Assistant (IVA) and Pega Email Bot process user input and help the system find the best matching response by using natural language processing (NLP) and adaptive analytics. You can configure text analyzers to detect topics, entities, sentiment, and language in an email, chat text message, or a voice command.

  • Understanding text analysis

    Text analysis is an important aspect of conversational channels that enables a Pega Platform application to intelligently and seamlessly interact with a user in a natural conversational manner. Text analyzers examine user input one by one using natural language processing (NLP), adaptive analytics, and artificial intelligence.

  • Defining conversational channel behavior

    Improve user experience in Pega Intelligent Virtual Assistant (IVA) by configuring the conversational channel behavior that fit the needs of your organization. You can add a conversation to a case type, add suggested cases, and define suggested responses for the IVA so that you speed up business processes for a Pega Platform application.

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