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@inproceedings{919121,
author = {Bayer, Jaroslav and Géryk, Jan and Čuhel, Matěj and Obšívač, Tomáš and Popelínský, Lubomír},
address = {Porto},
booktitle = {The Proceedings of the 9th European Conference on e-Learning ECEL 2010},
keywords = {text mining; text classification; technology-enhanced learning},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Porto},
isbn = {978-1-906638-83-2},
pages = {67-71},
publisher = {Academic Publishing Limited},
title = {Towards Text Mining in Technology-Enhanced Learning},
year = {2010}
}
TY - JOUR
ID - 919121
AU - Bayer, Jaroslav - Géryk, Jan - Čuhel, Matěj - Obšívač, Tomáš - Popelínský, Lubomír
PY - 2010
TI - Towards Text Mining in Technology-Enhanced Learning
PB - Academic Publishing Limited
CY - Porto
SN - 9781906638832
KW - text mining
KW - text classification
KW - technology-enhanced learning
N2 - 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.
ER -
BAYER, Jaroslav, Jan GÉRYK, Matěj ČUHEL, Tomáš OBŠÍVAČ a Lubomír POPELÍNSKÝ. Towards Text Mining in Technology-Enhanced Learning. In \textit{The Proceedings of the 9th European Conference on e-Learning ECEL 2010}. Porto: Academic Publishing Limited, 2010, s.~67-71. ISBN~978-1-906638-83-2.
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