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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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Optimizing sentiment analysis of Nigerian 2023 presidential election using two-stage residual long short term memory

2023HeliyonJournalOpen access

10.1016/j.heliyon.2023.e14836 Full text14 citations

Authors

5 authors across 3 institutions in 1 country.

David Opeoluwa OyewolaFirst authorCorresponding
- Federal University Kashere (NG)
Lawal Abdullahi Oladimeji
- Gombe State University (NG)
Sowore Olatunji Julius
- Federal University Kashere (NG)
Lummo Bala Kachalla
- Federal University Kashere (NG)
Emmanuel Gbenga DadaSenior author
- University of Maiduguri (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 · 0.96
Misinformation and Its Impactslevel 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
2023 · Heliyon · 14 citations
https://openalex.org/W4361306875

Optimizing sentiment analysis of Nigerian 2023 presidential election using two-stage residual long short term memory · Sankore