Title :
The Research of Feature Selection of Text Classification Based on Integrated Learning Algorithm
Author :
Huosong, Xia ; Jian, Liu
Author_Institution :
Dept. of Coll. of Econ. & Manage., Wuhan Textile Univ., Wuhan, China
Abstract :
Feature selection is a very important step in text classification, which affects the accuracy and validity in text classification. Base on four classic feature selection algorithms of text mining, this paper has established a kind of integrated learning algorithm which applies with feature selection in text classification, in order to improve the accuracy of text classification. Test results show that the algorithm improves the accuracy of text classification.
Keywords :
data mining; learning (artificial intelligence); pattern classification; text analysis; feature selection; integrated learning algorithm; text classification; text mining algorithm; Accuracy; Classification algorithms; Educational institutions; Machine learning algorithms; Support vector machines; Text categorization; Training; Feature selection; Integrated Learning Algorithm(ILA); Text Classification; The Weights Of Feature;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on
Conference_Location :
Wuxi
Print_ISBN :
978-1-4577-0327-0
DOI :
10.1109/DCABES.2011.95
