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