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论文类型：期刊论文

发表时间：2011-01-01

发表刊物：International Journal of Intelligent Systems Technologies and Applications

收录刊物：Scopus

卷号：10

期号：2

页面范围：128-139

ISSN号：17408865

摘要：This paper applies text classification to mining research proposals for Chinese natural science funds. By using vector-space model to represent the proposals, the centroid-based classification has been carried out. Then the change of category members is analysed through three variables defined to measure the stability, variability and overlapping of research fields, as the research field Management Science and Engineering is taken as a case study. The resulting figures give a direct representation of characteristics of research fields, which are helpful to find out the interrelationship of research fields and to adjust the field code system to reflect the real status more accurately. ? 2011 Inderscience Enterprises Ltd.