Experimental results show that features represented by mutual information, single-character word frequency and accessor variety can obtain an optimum result of 94.39%.

• 实验结果表明，采用互信息、单字词频和附属种类表示的特征向量所取得的分类性能最优，正确率可达94.；39%25。