| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - text-classification |
| language: |
| - es |
| - en |
| pretty_name: EmoEvent |
| --- |
| # EmoEvent: A Multilingual Emotion Corpus based on different Events |
|
|
| In recent years emotion detection in text has become more popular due to its potential applications in fields such as psychology, |
| marketing, political science, and artificial intelligence, among others. While opinion mining is a well-established task with many |
| standard datasets and well-defined methodologies, emotion mining has received less attention due to its complexity. In particular, |
| the annotated gold standard resources available are not enough. In order to address this shortage, we present a multilingual emotion |
| dataset based on different events that took place in April 2019. We collected tweets from the Twitter platform. Then one of seven |
| emotions, six Ekman’s basic emotions plus the “neutral or other emotions”, was labeled on each tweet by 3 Amazon MTurkers. A total |
| of 8,409 in Spanish and 7,303 in English were labeled. |
|
|
| ## Citation |
|
|
| To cite this resource in a publication please use the following: |
|
|
| ``` |
| @inproceedings{plaza-del-arco-etal-2020-emoevent, |
| title = "{{E}mo{E}vent: A Multilingual Emotion Corpus based on different Events}", |
| author = "{Plaza-del-Arco}, {Flor Miriam} and Strapparava, Carlo and {Ure{\~n}a-L{\’o}pez}, L. Alfonso and {Mart{\’i}n-Valdivia}, M. Teresa", |
| booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference", |
| month = may, |
| year = "2020", |
| address = "Marseille, France", publisher = "European Language Resources Association", |
| url = "https://www.aclweb.org/anthology/2020.lrec-1.186", pages = "1492--1498", |
| language = "English", |
| ISBN = "979-10-95546-34-4" |
| } |
| ``` |
