In this study we find that a simple retrieval model based on latent semantic analysis (Deerwester et al., 1990, LSA) works relatively well.
we get semantic vector representations for each document and the given topical word by performing singular value decomposition on the term-document matrix, where each element corresponds to the tf-idf value for a particular word in the document.