Recognition of Human Sentiment from Image using Machine Learning

Abstract

Human Sentiment is an important area of work to improve communication between human and machine. Emotional tension makes adoption very difficult. Quondam activities are proposed to capture sentiments using non-modem-based methods such as facial expressions, speech or voice input only. In this paper, we tried to recognize human sentiment from image using machine learning with tensor flow. The dataset which is used in the model is human images which are categorized into different human sentiments using machine learning and it tells the prediction score for each sentiment that is made by a human in the image.