Configuring text analyzer settings

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.
Before you begin: 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. Optional: To use a third-party text analyzer from Google to analyze text and extract entities, install the DialogFlow component. For more information, see Installing the Dialogflow component.
What to do next: Configure system responses for the IVA. For more information, see Configuring system responses for a conversational channel.