Text classification models classify text into one of several categories. You can use this type of analysis in customer service to automatically classify customer queries into categories, thus increasing the response time. By classifying text, you can also route the query directly to the right agent.
Note: You can use Pega Platform to create text classification models by using machine learning: Maximum Entropy, Naive Bayes or Support Vector Machine.
Prerequisites
To build machine learning models, you must access the analytics center. This can be done by launching the pyDecisionAnalytics portal. Add this portal to the list of portals in your access group. For more information see, Access Group form - Completing the Definition tab.
Enter the name of the classification model.
Select the language of the model.
In the Creation section, select the Build new model check box.
Click Start.