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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 deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset

2022Concurrency and Computation Practice and ExperienceJournalOpen access

10.1002/cpe.6989 Full text48 citations

Authors

3 authors across 3 institutions in 3 countries.

Olusola Abayomi-AlliFirst author
as printed: Olusola Abayomi‐Alli
Sanjay MisraCorresponding
Adebayo Abayomi-AlliSenior author
- Federal University of Agriculture, Abeokuta (NG)
as printed: Adebayo Abayomi‐Alli

Fields

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

Spam and Phishing Detectionlevel 3 · 1.00
Sentiment Analysis and Opinion Mininglevel 3 · 1.00
Text and Document Classification Technologieslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · Concurrency and Computation Practice and Experience · 48 citations
https://openalex.org/W4220908317

A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset · Sankore