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