Given a tweet and an emotion E, classify the tweet into one of four ordinal classes of intensity of E that best represents the mental state of the tweeter.
Publication
Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko (2018) SemEval-2018 Task 1: Affect in Tweets. Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), pages 1–17. New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational Linguistics
Competition
Language
Spanish
English
NLP topic
Abstract task
Dataset
Year
2018
Publication link
Ranking metric
Pearson correlation
Task results
System | Pearson correlation Sort ascending |
---|---|
AffecThor | 0.6640 |
UG18 | 0.5990 |
INGEOTEC | 0.5960 |
Median Team | 0.3600 |