Title :
An algorithm for text categorization with SVM
Author :
Jun, Hu ; Houkuan, Huang
Author_Institution :
Sch. of Comput. & Inf. Technol., Northern Jiaotong Univ., Beijing, China
Abstract :
The paper summarily introduces some aspects about data mining, text categorization and support vector machines and shows general process of text machine learning. It suggests a method of transforming text categorization problem to a series of binary classification problems and presents an algorithm for text categorization with SVM.
Keywords :
data mining; learning (artificial intelligence); support vector machines; binary classification problems; data mining; support vector machines; text categorization; Data mining; Feature extraction; Information retrieval; Machine learning; Machine learning algorithms; Signal processing algorithms; Support vector machine classification; Support vector machines; Testing; Text categorization;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1181211
