Poster: Bringing context into emoji recommendations

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We present Reeboc that combines machine learning and k-means clustering to analyze the conversation of a chat, extract different emotions or topics of the conversation, and recommend emojis that represent various contexts to the user. Instead of simply analyzing a single input sentence, we consider recent sentences exchanged in a conversation. we performed a user study with 17 participants in 8 groups in a realistic mobile chat environment. Participants spent the least amount of time in identifying and selecting the emojis of their choice with Reeboc (38% faster than without emoji recommendation).
Publisher
Association for Computing Machinery, Inc
Issue Date
2019-06-20
Language
English
Citation

17th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2019, pp.514 - 515

DOI
10.1145/3307334.3328601
URI
http://hdl.handle.net/10203/269381
Appears in Collection
CS-Conference Papers(학술회의논문)EE-Conference Papers(학술회의논문)
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