We present the first Africentric SemEval Shared task, Sentiment Analysis for
African Languages (AfriSenti-SemEval) - the dataset is available at
this https URL 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 a 3-class labeled data: positive,
negative, and neutral. 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 system 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 system on average for task C with 58.15 weighted
F1. We describe the various approaches adopted by the top 10 systems and their
approaches.

本研究介绍了第一个非洲中心的 SemEval 共享任务，称为 AfriSenti-SemEval，该数据集涵盖了 14 种非洲语言的情感分类挑战，并提供了具有正面、负面、中立三种标记的数据集，通过三个子任务进行测试。