Text analytics for email routing

Humans can effortlessly interpret a single tweet but are unable to parse a large volume of information efficiently. Businesses are exploring ways to use machine learning to extract meaningful information from a large number of text messages. Learn how a text prediction can work to detect topics, extract entities, and identity the sentiment for incoming emails.

Anfänger

Englisch

Nach Abschluss dieses Moduls können Sie Folgendes:

Describe practical applications where text analytics are useful.

Describe the role of machine learning in text analytics.

Explain how the system trains text predictions with classified messages.

Üben Sie das Gelernte in der folgenden Challenge:

Training a topic model to improve email routing v4

In der folgenden Mission verfügbar:

Pega NLP Essentials v2

Themen

Email routing

5 Min.

Training a topic model to improve email routing

15 Min.

Modulquiz

5 Min.