Title :
Speeding-up text categorization in a grid computing environment
Author :
Silva, Catarina ; Ribeiro, Bernardete ; Lotric, Uros
Author_Institution :
Dept. of Comput. Sci., Polytech. Inst. of Leiria, Portugal
Abstract :
The amount of texts available in digital form has dramatically increased, giving rise to the need of fast text classifiers. The tasks involved can be parallelized and distributed in a grid environment. This paper reports a study conducted on Reuters-21578 corpus, using a SVM learning machine. The task of text categorization is distributed in several platforms. The results achieved are very promising for speeding-up text categorization tasks and are valid independently of the learning machine.
Keywords :
grid computing; learning (artificial intelligence); pattern classification; support vector machines; text analysis; SVM learning machine; digital text classifier; distributed text categorization; grid computing; support vector machine; Computer science; Distributed computing; Grid computing; Learning systems; Machine learning; Pervasive computing; Physics computing; Support vector machine classification; Support vector machines; Text categorization;
Conference_Titel :
Machine Learning and Applications, 2005. Proceedings. Fourth International Conference on
Print_ISBN :
0-7695-2495-8
DOI :
10.1109/ICMLA.2005.60
