关键词: 文本分类, 向量空间模型, 矩阵投影, 特征选择

Abstract: A new algorithm，namely matrix projection algorithm，is proposed for text classification to solve the key problems of reducing dimension of features and improving efficiency and accuracy.It is based on matrix operation，which projects three-dimensional feature space of training samples onto two-dimensional feature space and obtains a normalized feature vector，achieves the aims of reduction in feature dimensions and accurate computation of feature term weights.Comparing with several typical algorithms，the proposed algorithm is remarkably superior to them in terms of accuracy and time，and the F1 value reaches 92.29% and 96.03% respectively on two typical data sets.

Key words: text classification, vector space model, matrix projection, feature selection