Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/SmartCloud49737.2020.00033 | 2020 IEEE International Conference on Smart Cloud (SmartCloud) |
Keywords | DocType | ISBN |
emoji,sentiment analysis,Twitter | Conference | 978-1-7281-6548-6 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyu Sun | 1 | 95 | 16.54 |
| Huakang Li | 2 | 0 | 0.34 |
| Guozi Sun | 3 | 6 | 2.56 |
| Ming Zhu | 4 | 0 | 0.34 |