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.

Principiante

Inglés

Después de completar este módulo, podrá hacer lo siguiente:

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

Practique lo que ha aprendido en el siguiente Reto:

Training a topic model to improve email routing v3

Disponible en las siguientes misiones:

Data Scientist v4 Pega NLP Essentials v1

Temas

Text analytics

5 minutos

Email routing

10 minutos

Training a topic model to improve email routing

15 minutos

Cuestionario del módulo

5 minutos