LRA achieves an accuracy of about 56%.
we have also experimented with Non-negative Matrix Factorization (NMF) (Lee and Seung 1999), Probabilistic Latent Semantic Analysis (PLSA) (Hofmann 1999), Kernel Principal Components Analysis (KPCA) (Scholkopf, Smola, and Muller 1997), and Iterative Scaling (IS) (Ando 2000).