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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.

Aspect-Based Sentiment Classification of Online Product Reviews Using Hybrid Lexicon-Machine Learning Approach

2024Communications in computer and information sciencePublication

10.1007/978-3-031-55486-5_10 Full text3 citations

Authors

5 authors across 2 institutions in 1 country.

Daniel Ekpenyong AsuquoFirst authorCorresponding
- University of Uyo (NG)
as printed: Daniel Asuquo
Kingsley Attai
Patience U. Usip
- University of Uyo (NG)
as printed: Patience Usip
Uduak D. George
- University of Uyo (NG)
as printed: Uduak George
Francis OsangSenior author
- National Open University of Nigeria (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 · 1.00
Text and Document Classification Technologieslevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · Communications in computer and information science · 3 citations
https://openalex.org/W4392514566

Aspect-Based Sentiment Classification of Online Product Reviews Using Hybrid Lexicon-Machine Learning Approach · Sankore