open access

https://hdl.handle.net/2115/63966

Emoticon recommendation system for effective communication

英語

text processing

2013-08

IEEE

Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013

1460-1461

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.

会議発表論文

Accepted Manuscript

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