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+# 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"
+} 
+```