A Novel Multiclass Text Classification Algorithm Based on Multiconlitron

DOI

10.2991/emim-16.2016.173How to use a DOI?

Keywords

Multiconlitron; Multiclass classification; One-against-one; Support vector machines

Abstract

A novel multiclass text classification algorithm based on multiconlitron is proposed. The multiconlitron is constructed for each possible pair of classes in sample space, each of which is used to separate two classes. For the sample to be classified, every multiconlitron is used to judge its class,and vote for the corresponding class. The final class of the sample is determined by the number of votes. The classification experiments are done on Reuters 21578, and the experimental results show that the proposed algorithm has better performance. Compared with multiclass support vector machines 1-a-1, 1-a-r and DAGSVM, while ensuring the classification accuracy, it improves the classification speed and training speed greatly.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuping Qin
AU  - Fengfeng Qiu
AU  - Qiangkui Leng
AU  - Aihua Zhang
PY  - 2016/04
DA  - 2016/04
TI  - A Novel Multiclass Text Classification Algorithm Based on Multiconlitron
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 843
EP  - 848
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.173
DO  - 10.2991/emim-16.2016.173
ID  - Qin2016/04
ER  -