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Article · Journal · 2024

Sarcasm Detection in Pidgin Tweets Using Machine Learning Techniques

Khadijat Tope Ladoja, Ruth T Afape

Asian Journal of Research in Computer Science

Open access · Diamond

Read it 10.9734/ajrcos/2024/v17i5450

Citations: 5from other works
Field-weighted impact: 1.101.00 is the world average for its field and year
Among its field: 80th percentileby citations, against works of its field and year
Authors: 2from 1 institution

Authors

2 authors

Khadijat Tope LadojaFirst author
- University of Ibadan (NG)
as printed: Khadijat T Ladoja
Ruth T AfapeSenior author
- University of Ibadan (NG)

Development goals

4Quality education

Country

Nigeria

Fields

A work can sit in several, each with a score

Hate Speech and Cyberbullying DetectionTopic
Cybercrime and Law Enforcement StudiesTopic
Advanced Malware Detection TechniquesTopic

Sarcasm Detection in Pidgin Tweets Using Machine Learning Techniques · Peerford