Creating machine learning-based topic detection models

Topic detection 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. You can use Pega Platform to create topic detection models by using Maximum Entropy, Naive Bayes or Support Vector Machines algorithms.
  • Make sure that you can access the Analytics Center. You can do this by starting 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.
  • Make sure that the system locale language settings are set to UTF-8.