PAPERS & PUBLICATIONS
Journal articles, conference papers, and research listed in my academic CV, spanning 2013–2026.
12 publications · Showing 1–10
Reset filtersEke, C. I., Maswadi, K., Phiri, M., Imran, M., Kwaghtyo, D., & Collins, A. O
Eke, C. I., Maswadi, K., Phiri, M., Imran, M., Kwaghtyo, D., & Collins, A. O. (2025). Effective tweets classification for disaster crises based on an ensemble of classifiers. Journal of the Nigerian Society of Physical Sciences, 2675-2675.
Magaji, G. E., Eke, C. I., & Yunana, D. T
Magaji, G. E., Eke, C. I., & Yunana, D. T. (2025). An Intensive Review on Opinion Mining Techniques: State of The Art, Open Cutting-Edge Challenges, and Future Research Opportunities. International Journal on Computational Engineering, 2(1), 24-30.
Alhazmi A, Mahmud R, Idris N, Mohamed Abo ME, Eke C.I
Alhazmi A, Mahmud R, Idris N, Mohamed Abo ME, Eke C.I (2024) Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models. PLoS ONE 19(7): e0305657.
Maswadi, K., Alhazmi, A., Alshanketi, F., & Eke, C. I
Maswadi, K., Alhazmi, A., Alshanketi, F., & Eke, C. I. (2024). The empirical study of tweet classification systems for disaster response using shallow and deep learning models. Journal of Ambient Intelligence and Humanized Computing, 1-14.
Alhazmi, A., Mahmud, R., Idris, N., Abo, M. E. M., & Eke, C
Alhazmi, A., Mahmud, R., Idris, N., Abo, M. E. M., & Eke, C. (2024). A systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions. PeerJ Computer Science, 10, e1966.
Buddha, H., Shuib, L., Idris, N., & Eke, C. I
Buddha, H., Shuib, L., Idris, N., & Eke, C. I. (2024). Technology-Assisted Language Learning Systems: A Systematic Literature Review. IEEE Access.
Moses, T., Obi, H. E., Eke, C. I., & Agushaka, J
Moses, T., Obi, H. E., Eke, C. I., & Agushaka, J. (2023) Enhancing Fake News Identification in social media through Ensemble Learning Methods. International Journal of Applied Information Systems (IJAIS). 12(41).
Eke, C.I., Norman, A. A., Shuib, L., & Long, Z. A
Eke, C.I., Norman, A. A., Shuib, L., & Long, Z. A. (2022). Random forest-based classifier for automatic sarcasm classification on Twitter data using multiple features. Journal of information systems and digital technologies, 4(2).
Eke, C. I., Norman, A. A., & Shuib, L
Eke, C. I., Norman, A. A., & Shuib, L. (2021). Context- Based Feature Technique for Sarcasm Identification in Benchmark Datasets Using Deep Learning and BERT Model. IEEE Access, 9, 48501-48518.
Eke, C. I., Norman, A. A., & Shuib, L
Eke, C. I., Norman, A. A., & Shuib, L. (2021). Multi- feature fusion framework for sarcasm identification on Twitter data: A machine learning-based approach. PloS one, 16(6), e0252918.
Bibliography from my CV, dated 25 October 2026. “Read article” opens a supplied DOI; “Find publication” searches Crossref by title where a DOI is not available. Venue details are shown as supplied.