基于CART决策树的网络问答社区新兴话题识别研究*
程秀峰, 张心怡, 王宁

Identifying Trending Topics in Q&A Community with CART Decision Tree
Cheng Xiufeng,Zhang Xinyi,Wang Ning
表2 预处理的T1问题数据
Title Focus Cohesion Impact Is Order
Tree1.Topic1 1 379 560 8.99 502 643 1 25
Tree1.Topic2 9 495 9.81 83 591 1 49
Tree1.Topic3 356 204 8.04 522 595 1 55
Tree1.Topic4 51 740 8.23 89 478 1 63
Tree1.Topic5 347 185 9.28 994 162 1 93
Tree1.Topic6 3 496 1.98 8 874 1 94
Tree1.Topic7 8 538 3.64 597 1 96
Tree1.Topic8 4 361 4.41 10 818 1 99
Tree1.Topic9 56 159 3.33 93 735 1 110
Tree1.Topic10 35 877 1.82 21 288 1 115
Tree1.Topic11 6 600 5.86 5 318 1 118
Tree1.Topic12 403 128 8.66 97 756 1 121
Tree1.Topic13 4 249 1.89 1 108 1 124
Tree1.Topic14 703 195 15.20 52 308 1 128
Tree1.Topic15 1 327 4.31 2 760 1 136