The proposed model is a mixture model with multinomial distributions as component models (i.e., models of topics), similar to Probabilistic Latent Semantic Analysis (Hofmann, 1999).
sion is around 50%, see Table 2, this is more than two times better than random guess which is about 19% and second that our features can be used to filter out some useful reviews.