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.

Débutant

Anglais

Après avoir terminé ce module, vous pourrez :

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.

Appliquez ce que vous avez appris dans le Défi suivant :

Training a topic model to improve email routing v4

Disponible dans la mission suivante :

Pega NLP Essentials v2

Rubriques

Email routing

5 mins

Training a topic model to improve email routing

15 mins

Quiz du module

5 mins