A improved feature weighting algorithm for Chinese text classification

Based on analyzing traditional feature weighting algorithm and according to the problem that the traditional feature weighting algorithm only considers term frequency and inverse document frequency, a improved weighting algorithm is put forward, that is, synthesizing the length, position and class information of term when computing its weight. Then verify effectiveness of the classification by KNN classifier. Experimental results show that this algorithm can improve the classification accuracy and achieve great results of classification.