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.

Beginner

Inglese

After completing this module, you should be able to:

Explain text analytics

Describe practical applications where text analytics can be used

Describe the role of machine learning in text analytics

Explain how text predictions are trained on classified messages

Practice what you learned in the following Challenge:

Training a topic model to improve email routing v3

Disponibile nelle seguenti missioni:

Data Scientist v4 Pega NLP Essentials v1

Topics

Text analytics

5 mins

Email routing

10 mins

Training a topic model to improve email routing

15 mins

Module Quiz

5 mins