… We next describe BoosTexter, a system which embodies four versions of boosting based on
these … , and we discuss the implementation issues that arise in multi-label text categorization. …

… We next describe BoosTexter, a system which embodies four versions of boosting based on
these … , and we discuss the implementation issues that arise in multilabel text categorization. …

… In this paper, we describe one component of our dialogue system, namely the module for …
-label text categorization problem. We apply a machine-learning system called BoosTexter [7] …

… a variety of classification problems and has experimentally proven to be highly competitive
in the context of text categorization [2]. In this paper, we focus on text categorization with over…

… MHKR, and describe the experimental results we have obtained on the Reuters-21578 text
categorization benchmark. AdaBoost.MHKR is based on a different method to create weak …

… large-sized classification schemes for text have a hierarchical structure, so far the attention
of text classification researchers has mostly focused on algorithms for “flat” classification, ie …

… and effective automatic text categorization systems. For this reason, text categorization is still
… We utilized four widely used multi-label datasets for text categorization system evaluation in …

… As a conclusion of this study, we recommend topic-based representation for accelerating
and enhancing the categorization performance of all mentioned boosting-based and instance-…

… form of simple ontologies can improve text classification results by directly … classification
we suggest to use the AdaBoost algorithm which has proven to produce accurate classification …

… Chinese text categorization systems. This paper presents a text categorization system specially
… This system has been successfully evaluated on the TCM-MED dataset and the English …