Defining advanced text analyzer configuration

Enhance the performance and responsiveness of Pega Intelligent Virtual Assistant (IVA) during a chat conversation by using advanced text analyzer configuration. Apart from using default Pega text analyzers such as Pega NLP or iNLP, you can implement a third-party Dialogflow text analyzer in your system. You can also share a text analytics model that detects the right information between multiple email bots and IVAs. The system uses text analytics models to correctly detect topics, entities, sentiment, and language in a conversation text. After you configure your text analyzer, all IVAs and email bots that use a shared topic model can correctly detect same subject matter from user input.
  1. Set up the Dialogflow text analyzer for an email bot or an IVA for Web Chatbot.
    For more information, see Configuring the Dialogflow text analyzer for a channel.
  2. Learn the guidelines for sharing text analyzer models across multiple channels.
    For more information, see Guidelines for sharing text analytics models across channels.