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.

Anfänger

Englisch

Nach Abschluss dieses Moduls können Sie Folgendes:

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.

Üben Sie das Gelernte in den folgenden Challenges:

Creating a chatbot channel v3 Creating entity extraction model using Ruta script v3 Enhancing entity extraction with machine learning v3

In der folgenden Mission verfügbar:

Pega NLP Essentials v3

Themen

Training predictions for chatbot

10 Min.

Modulquiz

5 Min.