Study on SVM Compared with the other Text Classification Methods
Authors:
- Zhijie LiuZLZhijie Liu
- Xueqiang LvXLXueqiang Lv
- Kun LiuKLKun Liu
- Shuicai ShiSSShuicai Shi
- 1 January 2010
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 219-222
Abstract
Based on the text information processing, we have made a study on the application of support vector machine in text categorization. Through introducing the basic principle of SVM, we described the process of text classification and further proposed a SVM-based classification model. Finally, experimental data show that F1 value of SVM classifier has reached more than 86.26%, and the classification results comparing to other classification methods have greatly improved, and it also proves that SVM is an effective machine learning method.Keywords
This publication has 2 references indexed in Scilit:
- Support-vector networksMachine Learning, 1995
- The Nature of Statistical Learning Theory1995