An Overview on Image Sentiment Analysis: Methods, Datasets and Current Challenges

Abstract

This paper introduces the research field of Image Sentiment Analysis, analyses the related problems, provides an in-depth overview of current research progress, discusses the major issues and outlines the new opportunities and challenges in this area. An overview of the most significant works is presented. A discussion about the related specific issues is provided: emotions representation models, existing datasets and most used features. A generalizable analysis of the problem is also presented, by identifying and analyzing the components that affect the sentiment toward an image. Furthermore, the paper introduces some additional challenges and techniques that could be investigated, proposing suggestions for new methods, features and datasets.