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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.

Machine Learning for Hate Text Speech Detection: A Comprehensive Review of Techniques, Dataset and Challenges

2026Asian Journal of Research in Computer ScienceJournalOpen access

10.9734/ajrcos/2026/v19i2832 Full text0 citations

Authors

6 authors across 3 institutions in 1 country.

Usman Idris IsmailFirst author
- Federal University Kashere (NG)
Suleiman Salihu Jauro
- Gombe State University (NG)
Nuhu Abdulalim Muhammad
- Federal University Kashere (NG)
Saadatu Ali Jijji
- Federal University Kashere (NG)
Joshua C Shawulu
- Federal University Kashere (NG)
A.A. GaladimaSenior author
- Federal University of Technology Owerri (NG)
as printed: Abdullahi Adam Galadima

Fields

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

Hate Speech and Cyberbullying Detectionlevel 3 · 0.99
Spam and Phishing Detectionlevel 3 · 0.00
Sentiment Analysis and Opinion Mininglevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · Asian Journal of Research in Computer Science · 0 citations
https://openalex.org/W7134961029

Machine Learning for Hate Text Speech Detection: A Comprehensive Review of Techniques, Dataset and Challenges · Sankore