Study on Classification Algorithm of Multi-subject Text

@article{Yuping2007StudyOC,
  title={Study on Classification Algorithm of Multi-subject Text},
  author={Qin Yu-ping and Ai Qing and Wang Xiu-kun and Li Xiang-na},
  journal={Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)},
  year={2007},
  volume={2},
  pages={435-438}
}
One text may belong to multi-class, but it can not be classified by standard SVM and other approaches. In this paper, a multi-subject text classification algorithm based on fuzzy support vector machines is proposed, 1-a-1 method is used to train sub-classifiers. For the sample to be classified, the sub-classifiers are used to obtain membership matrix, and… CONTINUE READING