1. A method comprising: receiving a first distribution of cases over a first group of categories; classifying, with a categorizer trained using a search-and-confirm technique, the cases into a second group of categories; generating a second distribution of the cases over the second group of categories using results of the classifying; and comparing the first and second distributions to identify differences between the first and second distributions.