模式识别与人工智能
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  2010, Vol. 23 Issue (4): 456-463    DOI:
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Hierarchical Text Classification Model Based on Blocking Priori Knowledge
LI Wen1,2,MIAO Duo-Qian1,WEI Zhi-Hua1,WANG Wei-Li1,2
1.Department of Computer Science and Technology,Tongji University,Shanghai 201804
2.Information Engineering School,Nanchang University,Nanchang 330031

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Abstract  Blocking exerts negative effect on the performance of text hierarchical classification. In this paper, a two-step hierarchical text classification model based on blocking priori knowledge is proposed to address the problem. Firstly, blocking distribution is estimated and blocking pair recognition technique focusing on mining the serious blocking direction is presented. Secondly, the hierarchy topology structure is actively refined which attempts to correct misclassification and reduce blocking errors by using blocking priori knowledge. The experimental results on TanCorp, which is a new corpus special for Chinese text classification, show that the model can improve the performance significantly without increasing the extra number of classifiers and is a method of solving the hierarchical classification blocking problem. In addition, compared with flat text classification algorithm, this method has stable performance.
Key wordsBlocking      Text Classification      Hierarchical Structure      Priori Knowledge      Dynamic Refinement     
Received: 25 June 2009     
ZTFLH: TP391  
  TP181  
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