Better understand the key features and benefits of entity extraction with chatbot channel. Use this module to learn how to enable the chatbot to handle ticket cancellation requests by training a text prediction that drives the chatbot. The chatbot detects the topic of a message, extracts all relevant entities, and creates a case that the Customer Service Representative (CSR) in the CSR portal can handle later.
After completing this module, you should be able to:
Describe how Pega Chatbot uses natural language processing to determine the topic of inbound message and extract entities.
Configure the chatbot channel.
Explain the out-of-the-box entity extraction models.
Train the topic detection and entity extraction models.
Practice what you learned in the following Challenges:
Creating a chatbot channel
Creating entity extraction model using Ruta script
Enhancing entity extraction with machine learning
Available in the following mission:
Pega NLP Essentials