Skip to main content

Module

Using entity extraction with chatbot channel

1 Topic

15 mins

Visible to: All users
Beginner Pega Customer Decision Hub '23 English

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

We'd prefer it if you saw us at our best.

Pega Academy has detected you are using a browser which may prevent you from experiencing the site as intended. To improve your experience, please update your browser.

Close Deprecation Notice