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:

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

Pratique o que aprendeu no seguinte Desafio:

Training a topic model to improve email routing v3

Disponível nas seguintes missões:

Data Scientist v4 Pega NLP Essentials v1

Tópicos

Text analytics

5 min

Email routing

10 min

Training a topic model to improve email routing

15 min

Quiz do módulo

5 min