Improvements in Latent Semantic Analysis
Ryan Lloyd, Cheri Shakiban · American Journal of Undergraduate Research · 2004
This paper proposes and examines modifications for the method of Latent Semantic Analysis (LSA). Several new local and global weight functions, along with normalization routines, are disclosed. Changes in the general structure of LSA are discussed. An application of LSA, in which the method is used to filter advertisements in e-mail, proves the worthiness of the advancements.