To test the ability of ITM to discover relevant subdivisions in a corpus, we use a dataset with predefined, intrinsic labels and assess how well the discovered latent topic structure can reproduce the corpus's inherent structure.
for a corpus with M classes, we use the per-document topic distribution as a feature vector in a supervised classi-  administration, bush, clinton, war, unite, force, reagan, american, america, make, nation, military, iraq, iraqi, troops, international, country, yesterday, plan .