SemEval-2018 Task 1: Affect in Tweets

SEMEVAL 2018 Saif MohammadFelipe Bravo-MarquezMohammad SalamehSvetlana Kiritchenko

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... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.