Applying simulation changes to a text analytics model
After you make corrections to natural language processing (NLP) records from the preview console relating to topic, entities and language for Pega Intelligent Virtual Assistant (IVA), you must apply the changes to the text analytics model. Rebuilding the text analytics model with additional or modified records improves the IVA's ability to understand user requests, and improves how the system responds to detected topic, entities, and language in the user input.When you update a detected topic or add entities during a chat simulation in the preview console, the system saves the changes as a training record.
In the header of Dev Studio, click the name of the application, and then click Channels and interfaces.
In the Current channel interfaces section, click the icon that represents your existing Alexa, Unified Messaging, or Web Chatbot channel.
In the channel, click the Behavior tab.The number of records that you previously modified is displayed at the top of the preview console.
At the top of the preview console, click Build 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.