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

Domaine:

natural language processing

Type de record:

paperdataset
Créateur:
Muhammad, Shamsuddeen HassanAbdulmumin, IdrisYimam, Seid MuhieAde
Hôte:avatar
We present the first Africentric SemEval Shared task, Sentiment Analysis for African Languages (AfriSenti-SemEval) - The dataset is available at AfriSenti Dataset. 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 Yorùbá (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. 19 pages, 5 figures, 6 tables

Visit

arxiv.org

Tasks

sentiment analysistext classification

Languages

AmharicArabic, Algerian SpokenArabic, Moroccan SpokenHausaKinyarwandaOromoOromo, Borana-Arsi-GujiSwahiliTigrignaTsonga+1

Tags

Computation and Language

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