TY  - JOUR
T1  - An Embedding Method of Emotes for the Detection of Popular Clips on Twitch.tv
AU  - Song, Hyeonho 
AU  - Park, Kunwoo 
AU  - Cha, Meeyoung 
JO  - Journal of KIISE, JOK
PY  - 2020
DA  - 2020/1/14
DO  - 10.5626/JOK.2020.47.12.1153
KW  - live streaming
KW  - emote
KW  - word embedding
KW  - popularity prediction
AB  - This study presents an embedding method that effectively learns emote’s meaning in Twitch.tv to understand the audience reaction in live streaming. The proposed method first trains an embedding matrix for text and emotes, respectively, and merges the two matrices into one. Using 2,220,761 clips shared on Twitch.tv, this study conducted two experiments: clustering and clip popularity prediction. Results showed that the approach identifies emote clusters that express a similar emotion and detects popular clips. Future studies could utilize the proposed emote embedding method for the highlight prediction of a live stream.