Our experimental results show that modeling attributes as latent or explicit topics with C-LDA and L-LDA, respectively, outperforms the purely distributional baseline model DEPVSM and PATTVSM of prior work.
latent topics t in the standard formulation of LDA (2) are constrained to correspond to explicit labels a.