The Impact of the Latent Semantic Analysis on Science and Technology: a Bibliometric Analysis

Abstract

Latent Semantic Analysis (LSA) has been in use in several different fields of science. Several modeling techniques including Boolean, set-theoretic, vector space, and probabilistic models studied. In this paper, we first describe the concept of "LSA" and then present the preliminary results of an exploratory study. We carried out a small-scale bibliometric analysis to find out the impact of LSA on various scientific and technological fields. We downloaded bibliographic records with "Latent Semantic Analysis" in their titles from Thomson's Science Citation Index Expanded and used Bibexcel and Pajek to perform several bibliometric and network analyses such as co-citation, co-authorship and co-word. It appears that LSA has had an impact on a wide variety of scientific disciplines from discourse analysis to cognitive science to machine learning.