Training data comes from verbatim text that has been classified

Additional fields such as NPS, CSAT, NLP and responses to other questions are used to create the training data

The training data is uploaded to the platform and tested for accuracy. If the accuracy is high enough then the Machine Learning Model is enabled as a Trained Classifier Model. All new verbatim text will pass through the classifier model and be classified.