Christopher Ifeanyi Eke

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide O. Oyelade et al. · Engineering Applications of Artificial Intelligence · 2022 · 821 citations

Cluster Computing, Data Classification, Document Clustering +14

A Survey of User Profiling: State-of-the-Art, Challenges, and Solutions

Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib et al. · IEEE Access · 2019 · 149 citations · Full text

Profiling Technique, Engineering, Information Retrieval +14

Context-Based Feature Technique for Sarcasm Identification in Benchmark Datasets Using Deep Learning and BERT Model

Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib · IEEE Access · 2021 · 121 citations · Full text

Engineering, Machine Learning, Cross-lingual Representation +18

Sarcasm identification in textual data: systematic review, research challenges and open directions

Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib et al. · Artificial Intelligence Review · 2019 · 95 citations

Natural Language Processing, Systematic Review, Engineering +11

Smart farming prediction models for precision agriculture: a comprehensive survey

Dekera Kenneth Kwaghtyo, Christopher Ifeanyi Eke · Artificial Intelligence Review · 2022 · 65 citations

Precision Agriculture, Engineering, Comprehensive Survey +13