Automatic Classification of Academic and Vocational Guidance Questions using Multiclass Neural Network

Omar Zahour, El Habib, Ahmed Eddaoui, Oumaima Hourrane
2019 International Journal of Advanced Computer Science and Applications  
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
more » ... on 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.
doi:10.14569/ijacsa.2019.0101072 fatcat:6eha7zjvzzbwnidypbw5lufvvi