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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.

RANDOM FOREST-BASED CLASSIFIER FOR AUTOMATIC SARCASM CLASSIFICATION ON TWITTER DATA USING MULTIPLE FEATURES

2022Journal of Information Systems and Digital TechnologiesJournalOpen access

10.31436/jisdt.v4i2.345 Full text6 citations

Authors

7 authors across 3 institutions in 2 countries.

Christopher EkeFirst author
- Federal University Lafia (NG)
Christopher I. EkeFirst author
- Federal University Lafia (NG)
as printed: Christopher Eke
Christopher EkeFirst author
- Federal University Lafia (NG)
Azah Norman
as printed: Azah Anir Norman
Liyana Shuib
Fatokun Faith B.
Zalizah AwangSenior author
as printed: Zalizah Awang Long

Fields

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

Food Supply Chain Traceabilitylevel 3 · 0.79
Music and Audio Processinglevel 3 · 0.73
Wildlife Ecology and Conservationlevel 3 · 0.71

Sources

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

openalexseen September 9, 2026
2022 · Journal of Information Systems and Digital Technologies · 6 citations
https://openalex.org/W4395004958

RANDOM FOREST-BASED CLASSIFIER FOR AUTOMATIC SARCASM CLASSIFICATION ON TWITTER DATA USING MULTIPLE FEATURES · Sankore