Given a tweet, classify it as ‘neutral or no emotion’ or as one, or more, of eleven given emotions that best represent the mental state of the tweeter.
The emotions considered are: anger, anticipation, disgust, fear, joy, love, optimism, pessimism, sadness, surprise, and trust.
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
Micro F
Task results
| System | MicroF1 Sort ascending |
|---|---|
| MILAB_SNU | 0.4400 |
| MILAB_SNU | 0.4070 |
| Tw-StAR | 0.3920 |
| Median team | 0.1870 |
