In attempt to combine the effectiveness of LDA in generating useful topics with the ability of dis- criminative classifiers to learn important features for classification, we use logistic regression with a linear kernel.
we train using L2regularization, which during test time allows us to get a probability estimate for each queried vector (i.e., a report-source pair).