In this note, we present results concerning the theory and practice of determining for a given document which of several categories it best fits. We describe a mathematical model ...
In this paper, I discuss how we made single-sourcing work at Juniper Networks. This is a practical discussion of issues, problems, and successes. Categories and Subject Descriptor...
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...
: This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...