Latent Semantic Analysis Applied to Tech Mining
Wei Lee Woon
Masdar Institute of Science and Technology (MIST)
Massachusetts Institute of Technology (MIT) - Sloan School of Management
Massachusetts Institute of Technology (MIT) - Department of Electrical Engineering and Computer Science
September 1, 2009
MIT Sloan Research Paper No. 4726-09
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.
Number of Pages in PDF File: 17
Keywords: tech mining, latent semantic analysis
Date posted: March 11, 2009
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