| | --- |
| | 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" |
| | } |
| | ``` |
