关键词: 特征选择, CHI统计, 文本分类, 不均衡数据集, 重取样

Abstract: Class imbalance problems are often encountered in real application of automatic text classifications. From the view of the optimistic feature selection methods and the improvement of classifiers, a new text classification method on imbalanced data set is proposed. The positive and negative correlation between items and categorizations are combined with the strength of class information in the aspect of the feature selection scheme. Then on the data layer, the imbalanced characters of the training corpus are filtered by data resampling methods in order to reduce the effect on the classification. Experimental results show that the?new approach can achieve better performance.

Key words: feature selection, CHI statistical approach, text categorization, imbalanced data;resampling