This documentation site is for previous versions.

Visit our new documentation site for current releases.

Out-of-the-box text analytics models

Updated on May 17, 2024

Pega Platform provides trained and ready-to-use text analytics models.

Model name	Text analytics feature	Language	Rule name	Model description
Sentiment Models	Topic detection	DutchEnglishFrenchGermanItalianPortugueseSpanish	pySentimentModels	Analyzes text to detect sentiment at topic and phrase level.
pySmallTalk	Topic detection	DutchEnglishFrenchGermanItalianPortugueseSpanish	pySmallTalk	Analyzes chatbot content to detect and classify small talk topics, for example, greetings or asking for help. For more information, see Configure your chatbot for detecting small talk.
System Entities	Text extraction	English	pySystemEntities	Analyzes email and chatbot content to detect the following entities: account number address amount city country date day_name designation digit email location month_name organization person person_salutation phone SSN time url us_airport USA_state username zipcode
Unit Entities	Text extraction	English	pyUnits	Analyzes text to detect the following unit entities: area data distance money percentage speed temperature volume weight
Email Parser	Text extraction	DutchEnglishFrenchGermanItalianPortugueseSpanish	pxEmailParser	Analyzes email content and detects the following email components: body disclaimer signature

Previous topic Enabling languages for NLP
Next topic Analyzing messages with text predictions

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Visit the Support Center

Did you find this content helpful?

Yes

No

Want to help us improve this content?

Suggest an edit

Contact us