Determining the Impact of Social Media on Mental Health Using Convolution Neural Network

Abstract

The Image-Processing field has drastically risen in the past few years which has led to origination of such an effectual system that can help capture the human emotion in an uncomplicated way. There is are quisite to develop a pre-programmed system that captures facial images of human beings and analyse them, for effective depression of depression. We present the development of a system using deep convolutional neural networks (CNNs) for analysing mental health of different age group of peoples who use social media. The system is trained using the facial features of emotions (either positive or negative emotion). Then facial features are extracted and classification is done with the help of convolutional neural networks. The depression level is distinguished by perceiving and figuring the measure of negative emotions present in the entire video. Finally, we evaluate the system in terms of classification accuracy and speed.