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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.

A MULTI-PLATFORM APPROACH USING HYBRID DEEP LEARNING MODELS FOR AUTOMATIC DETECTION OF HATE SPEECH ON SOCIAL MEDIA

2022BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041)JournalOpen access

10.56892/bimajst.v6i02.358 Full text2 citations

Authors

3 authors across 3 institutions in 1 country.

Hyellamada SimonFirst author
- Federal Polytechnic, Mubi (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: HYELLAMADA SIMON
B. Y. Baha
- Modibbo Adama University of Technology (NG)
as printed: BENSON YUSUF BAHA
Etemi Joshua GarbaSenior author
- Modibbo Adama University of Technology (NG)
as printed: ETEMI JOSHUA GARBA

Fields

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

Hate Speech and Cyberbullying Detectionlevel 3 · 1.00
Internet Traffic Analysis and Secure E-votinglevel 3 · 0.99
Advanced Malware Detection Techniqueslevel 3 · 0.95

Sources

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

openalexseen September 9, 2026
2022 · BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041) · 2 citations
https://openalex.org/W4297845548

A MULTI-PLATFORM APPROACH USING HYBRID DEEP LEARNING MODELS FOR AUTOMATIC DETECTION OF HATE SPEECH ON SOCIAL MEDIA · Sankore