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

Inglês

Depois de concluir este módulo, você deverá ser capaz de:

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.

Pratique o que aprendeu no seguinte Desafios:

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

Disponível na seguinte missão:

Pega NLP Essentials v3

Tópicos

Training predictions for chatbot

10 min

Quiz do módulo

5 min