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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