基于改进三体训练法的半监督专利文本分类方法

胡云青,邱清盈,余秀,武建伟

Semi-supervised patent text classification method based on improved Tri-training algorithm

Yun-qing HU,Qing-ying QIU,Xiu YU,Jian-wei WU

表 5 aclImdb数据集特征选择对比结果(试验5)

Tab.5 Comparsion results of feature selection on aclImdb dataset (Test 5)

分类器 F1 Dim=150 Dim=250 Dim=350 Dim=450 Dim=550 Dim=650 Dim=750 Dim=850 Dim=950 Xgboost IG_New&Xgboost 0.665 0.670 0.670 0.675 0.708 0.704 0.700 0.700 0.700 IG&Xgboost 0.648 0.660 0.660 0.662 0.690 0.690 0.674 0.670 0.670 SVM IG_New&SVM 0.664 0.670 0.665 0.673 0.671 0.674 0.674 0.674 0.635 IG&SVM 0.595 0.652 0.584 0.594 0.635 0.604 0.585 0.592 0.592 NB IG_New&NB 0.660 0.660 0.660 0.667 0.667 0.654 0.663 0.660 0.650 IG&NB 0.625 0.594 0.610 0.653 0.660 0.622 0.600 0.615 0.602