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Emoticon recommendation system for effective communication

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/63966

Title: Emoticon recommendation system for effective communication
Authors: Urabe, Yuki Browse this author
Rzepka, Rafal Browse this author →KAKEN DB
Araki, Kenji Browse this author →KAKEN DB
Keywords: recommendation
recommendation method
affect sensing and analysis
text processing
Issue Date: Aug-2013
Publisher: IEEE
Journal Title: Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013
Start Page: 1460
End Page: 1461
Publisher DOI: 10.1145/2492517.2492594
Abstract: The existence of social media has made computer- mediated communication more widespread among users around the world. This paper describes the development of an emoticon recommendation system that allows users to express their feelings with their input. In order to develop this system, an innovative emoticon database consisting of a table of emoticons with points expressed from each of 10 distinctive emotions was constructed. An evaluation experiment showed that 71.3% of user-selected emoticons were among the top 10 emoticons recommended by the proposed system.
Conference Name: Advances in Social Networks Analysis and Mining 2013 (ASONAM 2013)
Conference Place: Niagara, ON
Rights: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Type: proceedings (author version)
URI: http://hdl.handle.net/2115/63966
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: Rzepka, Rafal

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