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

Alessandro Ortis, Giovanni Farinella, Sebastiano Battiato

2019

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.

Paper Citation

in Harvard Style

Ortis A., Farinella G. and Battiato S. (2019). An Overview on Image Sentiment Analysis: Methods, Datasets and Current Challenges.In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP, ISBN 978-989-758-378-0, pages 290-300. DOI: 10.5220/0007909602900300

in Bibtex Style

@conference{sigmap19,
author={Alessandro Ortis and Giovanni Farinella and Sebastiano Battiato},
title={An Overview on Image Sentiment Analysis: Methods, Datasets and Current Challenges},
booktitle={Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP,},
year={2019},
pages={290-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007909602900300},
isbn={978-989-758-378-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: SIGMAP,
TI - An Overview on Image Sentiment Analysis: Methods, Datasets and Current Challenges
SN - 978-989-758-378-0
AU - Ortis A.
AU - Farinella G.
AU - Battiato S.
PY - 2019
SP - 290
EP - 300
DO - 10.5220/0007909602900300