1. A method, in a data processing system, for text classification, the method comprising: receiving, by a domain terms selector component executing on a processor of the data processing system, an input text; identifying, by a domain terms selector component executing on a processor of the data processing system, at least one domain term in the input text; replacing, by a domain terms replacer component executing on a processor of the data processing system, the at least one identified domain term in the input text with a corresponding replacement term to form a revised input text, wherein replacing the identified domain term comprises, for each given identified domain term, determining a domain term type of the given identified domain term, and replacing the given identified domain term based on selecting a replacement method associated with the domain term type by a replacement method map; and classifying, by a text classifier component configured with a trained text classifier machine learning model, the revised input text to form a class determination.