Document classification is a task of assigning a new unclassified document to one of the
predefined set of classes. The content based document classification uses the content of the …

There are at least two ways to motivate why a particular learning method is suitable for a
particular learning task. Since ultimately one is interested in the performance of the method …

By far, the support vector machines (SVM) achieve the state-of-the-art performance for the
text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a …

Text Classification, or the task of automatically assigning semantic categories to natural
language text, has become one of the key methods for organizing online information. Since …

Automated classification of texts by their likeness or affinity has greatly eased the
management and processing of the massive volumes of information we face everyday …

Abstract The Support Vector Machine (SVM) typically outperforms other algorithms on text
classification problems, but requires training time roughly quadratic in the number of training …

Document classification has already been widely studied. In fact, some studies compared
feature selection techniques or feature space transformation whereas some others …

Although many researchers have verified the superiority of Support Vector Machine (SVM)
on text categorization tasks, some recent papers have reported much lower performance of …

Previous studies have shown that one-class SVM is a rather weak learning method for text
categorization problems. This paper points out that the poor performance observed before is …

for Text; Classification VVith SVMs Page 1 Generalized LARS as an Effective Feature
Selection Tool for Text; Classification VVith SVMs S. Sathiya Keerthi SELVARAK YAHOO-INC.COM …