Name
Abstract | ||
|---|---|---|
Emoji sentiment analysis is a relevant research topic nowadays, for which emoji sentiment lexica are key assets. Manual annotation affects directly their quality (where high quality usually corresponds to high self-agreement and inter-agreement). |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115279 | Expert Systems with Applications |
Keywords | DocType | Volume |
Natural Language Processing,Sentiment analysis,Emoji,Emoji lexica,Social media | Journal | 184 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milagros Fernández Gavilanes | 1 | 51 | 6.01 |
| Enrique Costa-Montenegro | 2 | 343 | 26.83 |
| Silvia García-Méndez | 3 | 1 | 2.04 |
| Francisco J. González-Castaño | 4 | 0 | 0.68 |
| Jonathan Juncal-Martínez | 5 | 66 | 5.62 |