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《Journal of Changsha University》 2013-05
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Application of Improved Gini Index in the Text Classification

TANG Wei;LIU Fengnian;CHEN Chongbang;OU Xinliang;WANG Su;College of Computer and Communication,Hunan University of Technology;Department of Computer Science and Technology,Changsha University;  
In this paper,TF-IDF algorithm is used in text preprocessing,and the Gini coefficient measure function of the traditional Gini coefficient method is improved according to the purity principle of Gini coefficient so as to reduce dimensions of the original text feature space.Through comparing the experimental data,it is indicated that the improvement is feasible and effective,which is reflected by the facts that the complexity of time and space is small and the precision is high.
【Fund】: 湖南省自然科学基金(批准号:11JJ3002)资助项目;; 湖南省教育厅科技重点项目(批准号:09A010)
【CateGory Index】: TP391.1
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