Fine-grained emoji sentiment analysis based on attributes of Twitter users

被引:1
作者
Sun, Xiaoyu [1 ]
Li, Huakang [2 ]
Sun, Guozi [1 ]
Zhu, Ming [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing, Peoples R China
[2] Xian Jiaotong Liverpool Univ, Sch Artificial Intelligence & Adv Comp, Suzhou, Peoples R China
来源
2020 IEEE INTERNATIONAL CONFERENCE ON SMART CLOUD (SMARTCLOUD 2020) | 2020年
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
emoji; sentiment analysis; Twitter;
D O I
10.1109/SmartCloud49737.2020.00033
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Emoji is a visual character that is popular on social media today, with rich semantic and emotional information. At present, each kind of emoji is usually treated as the same in sentiment analysis, but we think that different people using the same emoji will express different emotions. We collected tweets containing different emojis to calculate the emotion intensity scores of different emojis under different emotions, and combined the scores with different attributes of Twitter users to prove our point. Furthermore, we also provide analysis of experimental results and suggestions for future improvements.
引用
收藏
页码:134 / 139
页数:6
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