Text Mining for Science and Technology – A Review Part I – Characterization/Scientometrics

Journal of Scientometric Research,2012,1,1,11-21.
Published:September 2012
Type:Review Article

Text Mining for Science and Technology – A Review Part I – Characterization/Scientometrics

Dr. Ronald N. Kostoff

Research Affiliate, School of Public Policy, Georgia Institute of Technology, 13500 Tallyrand Way, Gainesville, VA 20155

Abstract:

This article is the first part of a two-part review of the author's work in developing text mining procedures. The focus of Part I is Scientometrics. Novel approaches that were used to text mine the field of nanoscience/nanotechnology and the science and technology portfolio of China are described. A unique approach to identify documents related to an application theme (e.g., military-related, intelligence-related, space-related) rather than a discipline theme is also described in some detail.

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Kostoff DRonald N. Text Mining for Science and Technology – A Review Part I – Characterization/Scientometrics. Journal of Scientometric Research. 2012;1(1):11-21. doi:10.5530/jscires.2012.1.5.