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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.

SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing

2023Journal of Advances in Mathematics and Computer ScienceJournalOpen access

10.9734/jamcs/2023/v38i101832 Full text23 citations

Authors

5 authors.

Dare Azeez OyeyemiFirst author
- University of Ibadan (NG)
Dare Azeez OyeyemiFirst author
- University of Ibadan (NG)
Dare Azeez OyeyemiFirst author
- University of Ibadan (NG)
Dare Azeez OyeyemiFirst author
- University of Ibadan (NG)
Adebola K. OjoSenior author
- University of Ibadan (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.99
Sentiment Analysis and Opinion Mininglevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2023 · Journal of Advances in Mathematics and Computer Science · 23 citations
https://openalex.org/W4388043193

SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing · Sankore