Emoticon Recommendation System Reflecting User Individuality - A Preliminary Survey of Emoticon Use

Taichi Matsui, Shohei Kato

2017

Abstract

As the Internet has become widespread, text messaging has become a major means of communication. Because it is difficult to express emotion through text, emoticons were developed. There are many kinds of emoticons, and people often have difficulty finding one that conveys their meaning appropriately. This research aims to propose an emoticon recommendation system that considers individual differences. To this end, we conducted a survey about the use of emoticons. In this study, we report and analyze the results of this survey.

Paper Citation

in Harvard Style

Matsui T. and Kato S. (2017). Emoticon Recommendation System Reflecting User Individuality - A Preliminary Survey of Emoticon Use . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 459-464. DOI: 10.5220/0006186104590464

in Bibtex Style

@conference{icaart17,
author={Taichi Matsui and Shohei Kato},
title={Emoticon Recommendation System Reflecting User Individuality - A Preliminary Survey of Emoticon Use},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={459-464},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006186104590464},
isbn={978-989-758-220-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Emoticon Recommendation System Reflecting User Individuality - A Preliminary Survey of Emoticon Use
SN - 978-989-758-220-2
AU - Matsui T.
AU - Kato S.
PY - 2017
SP - 459
EP - 464
DO - 10.5220/0006186104590464