Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication

Abstract

This paper describes the development of an emoticon recommendation system based on users' emotional statements. In order to develop this system, an in-novative emoticon database consisting of a table of emoticons with points expressed from each of 10 distinctive emotions was created. An evaluation experiment showed that our proposed system achieved an improvement of 28.1 points over a baseline system which recommends emoticons based on users' past emoticon selection. We also integrated the proposed and baseline systems, leading to a performance im-provement of approximately 73.0% in the same experiment. Evaluation of respon-dents' perceptions of the three systems utilizing an SD scale and factor analysis is also described in this paper.