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モジュール

Text analytics for email routing

3 トピック

35 分

Visible to: All users
初級 Pega Customer Decision Hub 8.7 Pega Customer Decision Hub 8.6 英語

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.

このモジュールを完了したら、以下の目的を達成できるようになります。

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

このモジュールで学習したことは、下記のチャレンジで実践できます。

Training a topic model to improve email routing v3

このモジュールは、下記のミッションにも含まれています。

Data Scientist v4 Pega NLP Essentials v1

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