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モジュール

Using entity extraction with chatbot channel

1 トピック

15 分

Visible to: All users
初級 Pega Customer Decision Hub 8.7 英語

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.

このモジュールを完了したら、以下の目的を達成できるようになります。

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.

このモジュールで学習したことは、下記のチャレンジで実践できます。

Creating a chatbot channel v1 Creating entity extraction model using Ruta script v1 Enhancing entity extraction with machine learning v1

このモジュールは、下記のミッションにも含まれています。

Pega NLP Essentials v1

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