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Authors: Taichi Matsui and Shohei Kato

Affiliation: Nagoya Institute of Technology, Japan

ISBN: 978-989-758-220-2

Keyword(s): Emoticon, Emotion, Recommendation, Text Messaging, Internet.

Related Ontology Subjects/Areas/Topics: Agents ; Applications ; Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Human-Computer Interaction ; Intelligent User Interfaces ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; Web Information Systems and Technologies ; Web Intelligence

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.

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Paper citation in several formats:
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

@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},
}

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

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