With the aid of recently proposed word embedding algorithms, the study of semantic similarity has progressed and advanced rapidly.
early approaches include utilizing the termdocument occurrence matrix from a large corpus and then perform dimension reduction techniques such as singular value decomposition (latent semantic analysis) (Bullinaria and Levy, 2007;Deerwester et al., 1990).