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Out-of-the-box text analytics models

Pega Platform™ provides the following trained and ready-to-use text analytics models:

Model name Text analytics feature Language Rule name Model description
Sentiment Models Topic detection English, French, German, Spanish, Italian, Dutch, Portuguese pySentimentModels

Analyzes text to detect sentiment at topic and phrase level.

pySmallTalk Topic detection English, French, German, Spanish, Italian, Dutch, Portuguese 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 (8.4).

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
  • zipcode
  • url
  • us_airport
  • USA_state
  • username
Unit Entities Text extraction English pyUnits

Analyzes text to detect the following unit entities: 

  • area
  • speed
  • temperature
  • volume
  • weight
  • distance
  • data
  • money
  • percentage
Email Parser Text extraction

English, French*, Spanish*

*Available from Pega Platform 8.5

pxEmailParser

Analyzes email content and detects the following email components:

  • body
  • signature
  • disclaimer

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