Identification of Authors’ Profiles in Wiki Using Quiz Game Based on Clusters Analysis Techniques

Authors

  • Mouna Boulaajoul Laboratory of Computer Science, Operational Research and Applied Statistics Abdelmalek Essaadi University
  • Noura Aknin Laboratory of Computer Science, Operational Research and Applied Statistics Abdelmalek Essaadi University

DOI:

https://doi.org/10.3991/ijet.v14i09.10139

Keywords:

WEKA, Data mining, Quiz game, Clustering, Author profile, Unity 3D

Abstract


The risk of inaccurate information found in a wiki-based site such as Wikipedia is high. In fact, it is a public site, so it is editable by anyone who can enter inaccurate information through malice or ignorance without any kind of control. When entering or editing an article, it is recommended to have a clear style without mistakes. So, it is essential to get rid of the mediocre style and respect the rules of writing. Even so, it is very remarkable that there are abuses at the style due to the malformed language coming even from people belonging to a more cultured so-cial rank. Therefore, the need to identify the wiki authors’ profiles has become paramount. The idea of this article is to offer a quiz game in the intention to classify the language level of wiki authors by using data mining techniques to make groups where each group gets a significant result that we should analyze.

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Published

2019-05-14

How to Cite

Boulaajoul, M., & Aknin, N. (2019). Identification of Authors’ Profiles in Wiki Using Quiz Game Based on Clusters Analysis Techniques. International Journal of Emerging Technologies in Learning (iJET), 14(09), pp. 50–60. https://doi.org/10.3991/ijet.v14i09.10139

Issue

Vol. 14 No. 09 (2019)

Section

Papers

License

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