A Method for Chinese Text Classification Based on Three-Dimensional Vector Space Model

摘要

Text classification is an important research direction of text mining and the research of Chinese text automatic classification is also becoming a research focus of intelligent classification. Against the particularity of the Chinese text classification, this paper presents a three-dimensional vector space model on the basis of the vector space model to improve the accuracy and efficiency of text classification. Experimental results show that the accuracy rate increased to 98.8125% which proves that the algorithm is effective.