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Text analytics for email routing


6 Topics

40 mins

Visible to: All users
Beginner Pega Customer Decision Hub 8.4 Pega Customer Decision Hub 8.5 English
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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 quantity of text messages. These insights help improve business performance and customer experience.

After completing this module, you should be able to:

Explain text analytics
Name a few practical applications where text analytics can be used
Describe the role of artificial intelligence (AI) in text analytics
Explain how text models for text categorization are trained

Available in the following mission:

Data Scientist v2

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