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Out-of-the-box text analytics models

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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
  • Dutch
  • English
  • French
  • German
  • Italian
  • Portuguese
  • Spanish
pySentimentModels Analyzes text to detect sentiment at topic and phrase level.
pySmallTalk Topic detection
  • Dutch
  • English
  • French
  • German
  • Italian
  • Portuguese
  • Spanish
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
  • English
  • French
  • Spanish
pxEmailParser Analyzes email content and detects the following email components:
  • body
  • disclaimer
  • signature

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