1. A method comprising: obtaining a set of training data having associated summaries; using the set of training data and associated summaries to generate a key feature generation model; obtaining another set of training data having associated categories; mapping, using the key feature generation model, the other set of training data to a set of vectors; and training a data classifier based on the set of vectors and the associated categories.