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AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

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Research
NLP benchmark
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AfriSenti is a sentiment analysis benchmark of more than 110,000 tweets in 14 African languages spanning four language families, annotated by native speakers. It underpinned SemEval-2023 Task 12, a shared task that attracted more than 200 participants, and documents data collection, annotation and baseline methods for low-resource languages.

Category
Research
Pricing
Free / open
Country
🌍 Pan-African
Last verified
10 Oct 2026
{
"name": "AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages",
"slug": "afrisenti-a-twitter-sentiment-analysis-benchmark-for-african-languages",
"category": "RESEARCH",
"country": "Pan-African",
"docs_status": "LIVE",
"licensing_required": "NONE",
"verified": true,
"last_verified": "2026-10-10",
"website": "https://arxiv.org/abs/2302.08956",
"documentation_url": null
}
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Verification history

  • 10 Oct 2026 · live
  • 7 Oct 2026 · live
  • 4 Oct 2026 · live
  • 1 Oct 2026 · live
  • 28 Sept 2026 · live
  • 25 Sept 2026 · live
  • 22 Sept 2026 · live
  • 22 Sept 2026 · live

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Tags

african-languages
nlp-benchmark
sentiment-analysis
semeval

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