Latent Semantic Analysis Applied to Tech Mining

17 Pages Posted: 11 Mar 2009  

Wei Lee Woon

Masdar Institute of Science and Technology (MIST)

Stuart Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Blaine Ziegler

Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering and Computer Science

Date Written: September 1, 2009

Abstract

This paper presents an approach to bibliometric analysis in the context of technology mining. Bibliometric analysis refers to the use of publication database statistics, e.g., hit counts relevant to a topic of interest. Technology mining facilitates the identification of a technology's research landscape. Our contribution to bibliometrics in this context is the use of a technique known as Latent Semantic Analysis (LSA) to reveal the concepts that underlie the terms relevant to a field. Using this technique, we can analyze coherent concepts, rather than individual terms. This can lead to more useful results from our bibliometric analysis. We present results that demonstrate the ability of Latent Semantic Analysis to uncover the concepts underlying sets of key terms, used in a case study on the technologies of renewable energy.

Keywords: tech mining, latent semantic analysis

Suggested Citation

Woon, Wei Lee and Madnick, Stuart and Ziegler, Blaine, Latent Semantic Analysis Applied to Tech Mining (September 1, 2009). MIT Sloan Research Paper No. 4726-09. Available at SSRN: https://ssrn.com/abstract=1356011 or http://dx.doi.org/10.2139/ssrn.1356011

Wei Lee Woon (Contact Author)

Masdar Institute of Science and Technology (MIST) ( email )

MASDAR
PO Box 54115
Abu Dhabi
United Arab Emirates

Stuart E. Madnick

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

E53-321
Cambridge, MA 02142
United States
617-253-6671 (Phone)
617-253-3321 (Fax)

Blaine Ziegler

Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering and Computer Science ( email )

77 Massachusetts Ave
Cambridge, MA 02139
United States

Paper statistics

Downloads
110
Rank
205,741
Abstract Views
5,710