Automatic Classification of Academic and Vocational Guidance Questions using Multiclass Neural Network
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 10
Abstract
The educational and professional orientation is an essential phase for each student to succeed in his life and his curriculum. In this context, it is very important to take into account the interests, occupations, skills, and the type of each student's personalities to make the right choice of training and to build a solid professional outline. This article deals with the problematic of educational and vocational orientation and we have developed a model for automatic classification of orientation questions. “E-Orientation Data” is a machine learning method based on John L. Holland’s Theory of RIASEC typology that uses a multiclass neural network algorithm. This model allows us to classify the questions of academic and professional orientation according to their four categories, thus allows automatic generation of questions in this area. This model can serve E-Orientation practitioners and researchers for further research as the algorithm gives us good results.
Authors and Affiliations
Omar Zahour, EL Habib Benlahmar, Ahmed Eddaoui, Oumaima Hourrane
Keywords
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- EP ID EP665237
- DOI 10.14569/IJACSA.2019.0101072
- Views 119
- Downloads 0
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