HUMAN SENTIMENT RECOGNITION USING DEEP LEARNING

Abstract

In this article we focus on 'Human Sentiments' that has played a major role in the human evolution.These sentiments can be recognized by factors such as body movement, gestures, speech, and facial expressions.Over the past few decades as the technologies has grown followed by the advancement in artificial intelligence and machine learning techniques it has now became possible for us to make research on the human sentiments using vast number of datasets and applying them to these methods.This field has attracted many researchers to study and find an efficient and accurate technique using which sentiments of a human can be recognized using their facial expressions.The application of these can be used in a wide range of fields like human-machine interaction, criminal detection, taking review from the customers, etc.Some researchers have mapped techniques which can be used to do so.The aim of this research paper is to develop a model using Deep Learning algorithm which can detect human sentiments by training it on a large labelled dataset of different sentiments.