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Paper Details

Analysis of student sentiment during video class with multilayer deep learning approach
Imrus Salehin, Fernaz Narin Nur, Iftakhar Mohammad Talha, Md. Mehedi Hasan, Nazmun Nessa Moon,

The modern education system is an essential part of the rise of technology. The E-learning education system is not just an experimental system; it is a vital learning system for the whole world over the last few months. In our research, we have developed our learning method in a more effective and modern way for students and teachers. For significant implementation, we are implementing convolutions neural networks and advanced data classifiers. The expression and mood analysis of a student during the onlineclass is the main focus of our study. For output measure, we divide the final output result as attentive, inattentive, understand, and neutral. Showing the output in real-time online class and for sensory analysis, we have used support vector machine (SVM) and OpenCV. The level of 5*4 neural network is created for this work. An advanced learning medium is proposed through our study. Teachers can monitor the live class and different feelings of a student during the class period through this system.

Convolutional neural network; Deep learning; Electronic-learning; Image data; Sentiment analysis;
Journal or Conference Name
International Journal of Electrical and Computer Engineering
Publication Year