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 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。

SemEval-2023任务12：非洲语言情感分析（AfriSenti-SemEval）