Close popover

Table of Contents

Testing text analytics models

Version:

You can perform ad-hoc testing of text analytics models that you created and analyze their performance in real-time, on real-life data.

For testing purposes, Pega Platform creates a temporary Text Analyzer rule that contains the model that is the test subject. Testing text analytics models helps to ensure that the models are ready for deployment in the production environment.

  1. In the navigation pane of Prediction Studio, click Models.

  2. For the model that you want to test, click the More icon and then select Test.

  3. In the Test window, paste your text sample.

  4. If applicable, configure any additional options that are specific to the model that you are testing.

    When testing sentiment analysis models you can change the default neutral sentiment score range. When testing topic detection settings, you can specify topic detection preference, analysis granularity, and the number of categories that you want to detect. When testing text extraction models, you can select any number of entity types to test, depending on your needs.
  5. Click Test and evaluate the outcome, for example, the sentiment classification.

  • Analyzing natural language

    Effortlessly analyze and extract meaningful information from large volumes of text with the use of text analytics. Based on your findings, you can further improve business performance and customer experience.

Have a question? Get answers now.

Visit the Collaboration Center to ask questions, engage in discussions, share ideas, and help others.