In an implementation, a non-transitory machine-readable storage medium stores instructions that when executed by a processor, cause the processor to allocate classifier data structures to persistent memory, read a number of categories from a set of training data, and populate the classifier data structures with training data including training-based, category and word probabilities calculated based on the training data.