Name
Abstract | ||
|---|---|---|
Emojis have been widely used in textual communications as a new way to convey nonverbal cues. An interesting observation is the various emoji usage patterns among different users. In this paper, we investigate the correlation between user personality traits and their emoji usage patterns, particularly on overall amounts and specific preferences. To achieve this goal, we build a large Twitter dataset which includes 352,245 users and over 1.13 billion tweets associated with calculated personality traits and emoji usage patterns. Our correlation and emoji prediction results provide insights into the power of diverse personalities that lead to varies emoji usage patterns as well as its potential in emoji recommendation tasks. |
Year | Venue | DocType |
|---|---|---|
2018 | ICWSM | Conference |
Volume | Citations | PageRank |
abs/1804.05143 | 1 | 0.35 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weijian Li | 1 | 24 | 6.42 |
| Yuxiao Chen | 2 | 10 | 3.84 |
| Tianran Hu | 3 | 66 | 9.32 |
| Jiebo Luo | 4 | 6314 | 374.00 |