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Using entity extraction with chatbot channel

1 Topic

15 mins

Visible to: All users
Beginner Pega Customer Decision Hub '23 English
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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 v3 Creating entity extraction model using Ruta script v3 Enhancing entity extraction with machine learning v3

Available in the following mission:

Pega NLP Essentials v3

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