An n-gram fragment will obtain a high cosine similarity if it is close to the document vector in the LSI latent space and a low cosine similarity value if it is not close.
what we expect is that domain-specific n-grams will obtain a high cosine similarity (Jameel et al., 2012) value compared with common/general n-gram fragments.