STUDY ON TERM CO-OCCURRENCE BASED ON VECTOR SPACE MODEL AND ITS APPLICATION IN TEXT CLASSIFICATION

A new Term Co-occurrence Model based on Vector Space Model (VSM) for improving the performance of text classification is proposed in this paper. The model selects a whole document as basic unit for obtaining term co-occurrence resources, which are then applied to text classification. Experimental results show that it improves the performance of text classification system greatly.