Using entity extraction with chatbot channel

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.

Beginner

Inglese

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 v2 Creating entity extraction model using Ruta script v2 Enhancing entity extraction with machine learning v2

Disponibile nelle seguenti missioni:

Pega NLP Essentials v2

Topics

Training predictions for chatbot

10 mins

Module Quiz

5 mins