Abstract
Extracting learning concepts is one of the major problems of artificial intelligence on education. Essentially, the determination of learning concepts within an educational content has some differences as compared with keyword or technical term extraction process. However, the problem can still taught as a classification problem, notwithstanding. In this paper, we examine how to handle the extraction of learning concepts using support vector machines as a supervised learning algorithm, and we evaluate the performance of the proposed approach using f-measure.
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Günel, K., Asliyan, R., Kurt, M., Polat, R., Özis, T. (2014). Dealing with Learning Concepts via Support Vector Machines. In: Xu, J., Fry, J., Lev, B., Hajiyev, A. (eds) Proceedings of the Seventh International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 241. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40078-0_5
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DOI: https://doi.org/10.1007/978-3-642-40078-0_5
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