Generally, LSA can be observed as a way to overcome some of the drawbacks of the standard vector space model, such as sparseness and dimensionality.
the LSA similarity is computed in a lower dimensional space, in which second-order relations among words and documents are exploited (Mihalcea et al., 2006).