Convolutional Neural Networks for the classification of image sentiment based on Deep Learning

Abstract

Social media these days has attracted researchers and engineers towards a novel field of Sentiment Analysis with Emotion Recognition. Along with showing objects, places, and activities, images and videos can convey information on attitudes and feelings. For example, these sorts of characteristics are particularly beneficial for understanding visual content outside the presence of any semantic notions, which makes it easier for the user to comprehend. People have discovered that sharing photographs on social media is the quickest and easiest means to express feelings, emotions, and ideas. Images and videos are becoming a more popular choice among social media users for conveying their ideas and recounting their experiences.