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
Related Articles
- EP ID EP665237
- DOI 10.14569/IJACSA.2019.0101072
- Views 118
- Downloads 0
User-Defined Financial Functions for MS SQL Server
The paper deals with mathematical preparation and subsequent programming of various types of financial functions with using of Transact-SQL in Database Management System MS SQL Server. Financial functions are used to aut...
CNNSFR: A Convolutional Neural Network System for Face Detection and Recognition
In recent years, face recognition has become more and more appreciated and considered as one of the most promising applications in the field of image analysis. However, the existing models have a high level of complexity...
Power and Contention Control Scheme: As a Good Candidate for Interference Modeling in Cognitive Radio Network
Due to the ever growing need for spectrum, the cognitive radio (CR) has been proposed to improve the radio spectrum utilization. In this scenario, the secondary users (SU) are permitted to share spectrum with the license...
Secure Clustering in Vehicular Ad Hoc Networks
A vehicular Ad-hoc network is composed of moving cars as nodes without any infrastructure. Nodes self-organize to form a network over radio links. Security issues are commonly observed in vehicular ad hoc networks; like...
Hyperspectral Image Segmentation using Homogeneous Area Limiting and Shortest Path Algorithm
Segmentation, as a preprocessing, plays an important role in hyperspectral images. In this paper, considering the similarity of neighboring pixels, using the size measure, the image spectrum is divided into several segme...