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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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Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language

2023SystemsJournalOpen access

10.3390/systems12010001 Full text15 citations

Authors

10 authors across 6 institutions in 4 countries.

Victor Kwaku AgbesiFirst author
Wenyu ChenCorresponding
Sophyani Banaamwini Yussif
Md Altab Hossin
Chiagoziem Ukwuoma
as printed: Chiagoziem C. Ukwuoma
Noble Arden Kuadey
as printed: Noble A. Kuadey
Collinson Colin M. Agbesi
- Koforidua Technical University (GH)
as printed: Colin Collinson Agbesi
Nagwan Abdel Samee
Mona M. Jamjoom
Mugahed A. Al-antariSenior authorCorresponding

Fields

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

Text and Document Classification Technologieslevel 3 · 0.98
Religion and Sociopolitical Dynamics in Nigerialevel 3 · 0.96
Topic Modelinglevel 3 · 0.96

Sources

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

openalexseen September 5, 2026
2023 · Systems · 15 citations
https://openalex.org/W4389947148

Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language · Sankore