Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication
نویسندگان
چکیده
This paper describes the development of an emoticon recommendation systembased on users’ emotional statements. 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 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 improvement of approximately 73.0% in the same experiment. Evaluation of respondents’ perceptions of the three systems utilizing an SD scale and factor analysis is also described in this paper.
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