engleski

Classification of Concept Maps Using Bag of Words Model

Concept map is a graphic organizer that depicts relationships among concepts. They are used for organizing and representing information in different areas. In environments where many persons or applications create concept maps, contents and quality of these maps vary. When user wants to find specific information, they have to know to which domain that map belongs. As manual categorization can be a long and demanding procedure, automatic classification of concept maps can help users to identify the relevant map. In this paper we explore the possibility of automatic classification of concept maps using the simple bag of words model. We evaluate performance of two naıve Bayes classifiers against SVM.

Concept map; classification; data mining; text mining; naive Bayes; SVM

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