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We present the first Africentric SemEval Shared task, Sentiment Analysis forAfrican Languages (AfriSenti-SemEval) - The dataset is available athttps://github.com/afrisenti-semeval/afrisent-semeval-2023. AfriSenti-SemEvalis a sentiment classification challenge in 14 African languages: Amharic,Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, MozambicanPortuguese, Nigerian Pidgin, Oromo, Swahili, Tigrinya, Twi, Xitsonga, andYor\`ub\'a (Muhammad et al., 2023), using data labeled with 3 sentimentclasses. We present three subtasks: (1) Task A: monolingual classification,which received 44 submissions; (2) Task B: multilingual classification, whichreceived 32 submissions; and (3) Task C: zero-shot classification, whichreceived 34 submissions. The best performance for tasks A and B was achieved byNLNDE team with 71.31 and 75.06 weighted F1, respectively. UCAS-IIE-NLPachieved the best average score for task C with 58.15 weighted F1. We describethe various approaches adopted by the top 10 systems and their approaches.

SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)