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- Gong, Taesik
- Ubiquitous AI Lab
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Poster: Bringing context into emoji recommendations
- Author(s)
- Kim, Joon-Gyum, Gong, Taesik, Huang, Evey, Kim, Juho, Lee, Sung-Ju, Kim, Bogoan, Park, JaeYeon, Kim, Woojeong, Han, Kyungsik, Ko, JeongGil
- Issued Date
- 2019-06-17
- Citation
- ACM International Conference on Mobile Systems, Applications, and Services, pp.514 - 515
- Abstract
- 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
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