Semantics, Knowledge and Grid, International Conference on (2010)
Nov. 1, 2010 to Nov. 3, 2010
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SKG.2010.79
Naïve Bayes classifier is proved to be one of the most effective classifier an be used widely. It applies statistical theory to text classification. This paper researched and implemented a Chinese text classifier using JAVA base on Naïve Bayes Method. First of all, this paper described test classification system, the content includes text information expressing, extracting and the method of Chinese text classification. Then it used JAVA to implement Naïve Bayes classification algorithm. Finally this paper made a performance evaluation to the classifier in this classification system, it used the indicators of precision, recall and run time to evaluate the classification results, experiment showed that this classification system has a higher classification accuracy.
Q. Zheng, Z. Cen and J. Huang, "Research and Implement of Chinese Text Classifier Based on Naïve Bayes Method," Semantics, Knowledge and Grid, International Conference on(SKG), Beijing, China, 2010, pp. 426-428.