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Out-of-the-box text analytics models

Suggest edit Updated on November 17, 2020

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

Model nameText analytics featureLanguageRule nameModel description
Sentiment ModelsTopic detectionEnglish, French, German, Spanish, Italian, Dutch, PortuguesepySentimentModels

Analyzes text to detect sentiment at topic and phrase level.

pySmallTalkTopic detectionEnglish, French, German, Spanish, Italian, Dutch, PortuguesepySmallTalk

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 EntitiesText extractionEnglishpySystemEntities

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 EntitiesText extractionEnglishpyUnits

Analyzes text to detect the following unit entities: 

  • area
  • speed
  • temperature
  • volume
  • weight
  • distance
  • data
  • money
  • percentage
Email ParserText 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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