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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

2022PublicationOpen access

10.63317/2anx3vqhsxdm Full text57 citations

Authors

15 authors across 8 institutions in 5 countries.

Shamsuddeen Hassan MuhammadFirst author
David Adelani
as printed: David Ifeoluwa Adelani
Sebastian Ruder
Ibrahim Sa’id Ahmad
Idris Abdulmumin
- Ahmadu Bello University (NG)
Bello Shehu Bello
Monojit Choudhury
Chris Emezue
as printed: Chris Chinenye Emezue
Saheed Salahudeen Abdullahi
Saheed Salahudeen Abdullahi
Saheed Salahudeen Abdullahi
Saheed Salahudeen Abdullahi
Anuoluwapo Aremu
Alípio Jorge
Pavel BrazdilSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Sentiment Analysis and Opinion Mininglevel 3 · 1.00
Topic Modelinglevel 3 · 0.99
Hate Speech and Cyberbullying Detectionlevel 3 · 0.99

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2022 · 57 citations
https://openalex.org/W4221155692

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis · Sankore