Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm

Knowledge is the most basic and important principle for students. Students can be classified based on knowledge. This classification is based on students' abilities and activities. Since MsC. students need to receive scholarships to other countries to gain more knowledge, it is essential to provide a decision management and knowledge management system. Therefore, there is a need for a data set of students' information in order to perform a data mining process in order to find those elite students based on the activities and abilities of students and recommend them scholarships. Therefore, the present research tries to present such a system which is based on Natural LanguageProcessing (NLP), feature extraction operations with Particle Swarm Optimization (PSO) algorithm and finally offers suggestions with deep Convolutional Neural Network (CNN). The results show that the accuracy of the proposed approach is higher than previous methods.

کلیدواژه ها:

Knowledge Management ، Decision Management ، Scholarship ، Students Classification ، Deep Learning ، Natural Language Processing (NLP)