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.

Principiante

Inglés

Después de completar este módulo, podrá hacer lo siguiente:

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.

Practique lo que ha aprendido en los siguientes Retos:

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

Disponible en la siguiente misión:

Pega NLP Essentials v3

Temas

Training predictions for chatbot

10 minutos

Cuestionario del módulo

5 minutos