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

Inglês

Depois de concluir este módulo, você deverá ser capaz de:

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.

Pratique o que aprendeu no seguinte Desafio:

Training a topic model to improve email routing v4

Disponível na seguinte missão:

Pega NLP Essentials v2

Tópicos

Email routing

5 min

Training a topic model to improve email routing

15 min

Quiz do módulo

5 min