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Módulo

Text analytics for email routing

2 Temas

25 minutos

Visible to: All users
Principiante Pega Customer Decision Hub 8.8 Inglés

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.

Después de completar este módulo, podrá hacer lo siguiente:

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.

Practique lo que ha aprendido en el siguiente Reto:

Training a topic model to improve email routing v4

Disponible en la siguiente misión:

Pega NLP Essentials v2

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