Towards Text Mining in Technology-Enhanced Learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00046685" target="_blank" >RIV/00216224:14330/10:00046685 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Towards Text Mining in Technology-Enhanced Learning
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LA09016" target="_blank" >LA09016: Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Proceedings of the 9th European Conference on e-Learning ECEL 2010
ISBN
978-1-906638-83-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Academic Publishing Limited
Place of publication
Porto
Event location
Porto
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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