Dealing with Learning Concepts via Support Vector Machines

  • Korhan Günel
  • Rıfat Asliyan
  • Mehmet Kurt
  • Refet Polat
  • Turgut Özis
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 241)

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.

Keywords

Text mining Support vector machines Classification Machine learning Intelligent tutoring systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Korhan Günel
    • 1
  • Rıfat Asliyan
    • 1
  • Mehmet Kurt
    • 2
  • Refet Polat
    • 3
  • Turgut Özis
    • 4
  1. 1.Department of MathematicsAdnan Menderes UniversityAydinTurkey
  2. 2.Department of Mathematics and Computer ScienceIzmir UniversityUckuyular-IzmirTurkey
  3. 3.Department of MathematicsYasar UniversityBornova-IzmirTurkey
  4. 4.Department of MathematicsEge UniversityBornova-IzmirTurkey

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