This is contrasted with more statistical approaches such as Latent Semantic Analysis (Landauer and Dumais, 1997) and topic models (Griffiths et al., 2007).
it is not clear that this holds up in light of the fact that we find very little difference in performance between count models and word2vec, or previous work arguing that word embedding models perform an implicit matrix factorization (Levy and Goldberg, 2014).