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

Topics: Collecting Large Scale Social Signal Data; Crowdsourced Multimedia Analysis and Applications; Emotional and Social Signals in Multimedia ; Emotional Multimedia Content Tagging; Semantic Analysis of Multimedia Data; Semantic Aware Multimedia Indexing (E.G., Affect, Sentiment, Interest); Social Network Analysis

Authors: Alessandro Ortis ; Giovanni Farinella and Sebastiano Battiato

Affiliation: University of Catania, Department of Mathematics and Computer Science, Viale A. Doria, 6, Catania, 95125 and Italy

ISBN: 978-989-758-378-0

Keyword(s): Image Sentiment Analysis, Social Image Sentiment, Image Polarity Classification.

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.

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Paper citation in several formats:
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

@conference{sigmap19,
author={Alessandro Ortis. and Giovanni Maria 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},
}

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

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