Tecat represents text categorization. It is a tool for building multi-label automatic text classifiers. With Tecat you can experiment with different collections and classifiers in order to build a multi-label classifier.
Montejo-Ráez A., Ureña-López, L. A., Steinberger, R. Adaptive Selection of Base Classifiers in One-Against-All Learning for Large Multi-labeled Collections. Lecture Notes in Computer Science Volume 3230, 2004, pp 1-12.
Please send an email to amontejo AT ujaen point es notifying its use.