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Out-of-the-box text analytics models

Updated on March 11, 2021

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

Model nameText analytics featureLanguageRule nameModel description
Sentiment ModelsTopic detectionDutchEnglishFrenchGermanItalianPortugueseSpanishpySentimentModelsAnalyzes text to detect sentiment at topic and phrase level.
pySmallTalkTopic detectionDutchEnglishFrenchGermanItalianPortugueseSpanishpySmallTalkAnalyzes 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 EntitiesText extractionEnglishpySystemEntitiesAnalyzes 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 EntitiesText extractionEnglishpyUnitsAnalyzes text to detect the following unit entities:
  • area
  • data
  • distance
  • money
  • percentage
  • speed
  • temperature
  • volume
  • weight
Email ParserText extractionEnglishFrenchSpanishpxEmailParserAnalyzes email content and detects the following email components:
  • body
  • disclaimer
  • signature

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