SemEval-2018 Task 1: Affect in Tweets

@inproceedings{Mohammad2018SemEval2018T1,
  title={SemEval-2018 Task 1: Affect in Tweets},
  author={Saif Mohammad and Felipe Bravo-Marquez and Mohammad Salameh and Svetlana Kiritchenko},
  booktitle={SemEval@NAACL-HLT},
  year={2018}
}
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet. For each task, we created labeled data from English, Arabic, and Spanish tweets. The individual tasks are: 1. emotion intensity regression, 2. emotion intensity ordinal classification, 3. valence (sentiment) regression, 4. valence ordinal classification, and 5. emotion classification. Seventy-five teams (about 200 team members) participated in… CONTINUE READING
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