Towards Text Mining in Technology-Enhanced Learning

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This publication doesn't include Faculty of Sports Studies. It includes Faculty of Informatics. Official publication website can be found on muni.cz.
Authors

BAYER Jaroslav GÉRYK Jan ČUHEL Matěj OBŠÍVAČ Tomáš POPELÍNSKÝ Lubomír

Year of publication 2010
Type Article in Proceedings
Conference The Proceedings of the 9th European Conference on e-Learning ECEL 2010
MU Faculty or unit

Faculty of Informatics

Citation
Field Informatics
Keywords text mining; text classification; technology-enhanced learning
Description In technology-enhanced learning environment, text mining can be useful for clustering course information, classification of student comments, for theses classification and evaluation, among others. We describe a pre-processing step and a method of text classification. The best results have been obtained for classification of theses. We discuss results obtained for classification of these three kind of texts and explain what additional information need to be exploited for improving a classification accuracy.
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