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S&T text ming and visualization applied on enterprise's r&d:A case study

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1 Author(s)
HongJiang Yue ; Inst. of Public Adm. & Performance Evaluation, Nanjing Audit Univ., Nanjing, China

Much effort has been done to develop more objective quantitative methods to analyze and integrate science and technology information for understanding research trends and research structures. Science & Technology (S&T) text mining is the application of text mining to highly detailed technical material. Co-word analysis is one class of techniques that exploits the use of co-occurrences of items in science and technology text. Bibliometrics and co-word analyses methods were applied on research literature of science and technology of Boeing Co. Its knowledge domains and structures were visualized by network tools.

Published in:

Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on

Date of Conference:

15-16 May 2009