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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.

Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media

2023ComputersJournalOpen access

10.3390/computers12110231 Full text31 citations

Authors

6 authors across 4 institutions in 2 countries.

Deborah OlaniyanFirst author
- Landmark University (NG)
Roseline Oluwaseun OgundokunCorresponding
- Landmark University (NG)
Olorunfemi Paul Bernard
- Auchi Polytechnic (NG)
Julius Olaniyan
- Landmark University (NG)
Rytis Maskeliūnas
Hakeem Babalola AkandeSenior author
- University of Ilorin (NG)

Fields

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

Sentiment Analysis and Opinion Mininglevel 3 · 1.00
Advanced Text Analysis Techniqueslevel 3 · 0.99
Language, Metaphor, and Cognitionlevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2023 · Computers · 31 citations
https://openalex.org/W4388660912

Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media · Sankore