Related information
Free Text Model rule form -
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The Advanced tab allows you to configure language detection settings, enable spell checking, and control how the text is categorized based on various criteria.
Language settings
The Pega 7 Platform functionality allows you to control and modify the language detection mechanisms. You can configure the system to:
Sentiment settings
You can control the score range of the neutral sentiment to make the analysis suit your business requirements.
Check spelling
By enabling the spell checking option, you can eliminate spelling mistakes from the analyzed text. Without spelling mistakes, the system can assign the analyzed text to a given category more accurately and with a higher confidence score.
The Pega 7 Platform uses a special spell checker decision data rule for checking spelling. A single spell checker rule can contain multiple entries. Each entry in the spell checker rule has a Spell Checker Property containing a language dictionary (in the form of a .CLX extension dictionary file). The Pega 7 Platform comes with the default pySpellChecker decision data rule containing English (British English and American English), French, German, and Spanish dictionaries. You can add your own dictionaries that best suit your business needs.
Classification settings
In the case of the model-based classification, the system identifies categories for a given text sample. You can use this option to segregate text samples according to the categories.
When you analyze larger portion of text (for example, lengthy Facebook comments or emails), it can have tens of categories associated with them. In such situation, you can: