activity
20192024
most citedAn Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques

34 citations · 97 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CL2024

Development of an NLP-driven computer-based test guide for visually impaired students

Tubo Faustinah Nemieboka, Ikechukwu E. Onyenwe, Doris C. Asogwa

In recent years, advancements in Natural Language Processing (NLP) techniques have revolutionized the field of accessibility and exclusivity of testing, particularly for visually i…

cs.CY2024

Integration of LaTeX formula in computer-based test application for academic purposes

Ikechukwu E. Onyenwe, Ebele Onyedinma, Onyedika O. Ikechukwu-Onyenwe +2

LaTeX is a free document preparation system that handles the typesetting of mathematical expressions smoothly and elegantly. It has become the standard format for creating and publ…

eess.IV2024

Image Restoration: A Comparative Analysis of Image De noising Using Different Spatial Filtering Techniques

E. G. Onyedinma, I. E. Onyenwe

Acquired images for medical and other purposes can be affected by noise from both the equipment used in the capturing or the environment. This can have adverse effect on the inform…

cs.LG2023

Development of an intelligent system for the detection of corona virus using artificial neural network

Nwafor Emmanuel O, Ngozi Maryrose Umeh, Ikechukwu Ekene Onyenwe

This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after series of literature review which…

cs.CL2023★ 1 cited

MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages

Cheikh M. Bamba Dione, David Adelani, Peter Nabende +41

In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these…

cs.IR2021

Developing Smart Web-Search Using RegEx

Ikechukwu Onyenwe, Stanley Ogbonna, Ebele Onyedimma +2

Due to the increasing storage data on Web Applications, it becomes very difficult to use only keyword-based searches to provide comprehensive search results, thus increasing the di…

cs.IR2021★ 1 cited

Developing Products Update-Alert System for e-Commerce Websites Users Using HTML Data and Web Scraping Technique

Ikechukwu Onyenwe, Ebele Onyedinma, Chidinma Nwafor +1

Websites are regarded as domains of limitless information which anyone and everyone can access. The new trend of technology put us to change the way we are doing our business. The…

cs.IR2021★ 12 cited

Text Classification Using Hybrid Machine Learning Algorithms on Big Data

D. C. Asogwa, S. O. Anigbogu, I. E. Onyenwe +1

Recently, there are unprecedented data growth originating from different online platforms which contribute to big data in terms of volume, velocity, variety and veracity (4Vs). Giv…

cs.CL2021★ 34 cited

An Automated Multiple-Choice Question Generation Using Natural Language Processing Techniques

Chidinma A. Nwafor, Ikechukwu E. Onyenwe

Automatic multiple-choice question generation (MCQG) is a useful yet challenging task in Natural Language Processing (NLP). It is the task of automatic generation of correct and re…

cs.SI2020★ 33 cited

The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets

Ikechukwu Onyenwe, Samuel Nwagbo, Njideka Mbeledogu +1

This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique call…

cs.CL2020★ 13 cited

Igbo-English Machine Translation: An Evaluation Benchmark

Ignatius Ezeani, Paul Rayson, Ikechukwu Onyenwe +2

Although researchers and practitioners are pushing the boundaries and enhancing the capacities of NLP tools and methods, works on African languages are lagging. A lot of focus on w…

cs.CV2019★ 3 cited

Performance Evaluation of Histogram Equalization and Fuzzy image Enhancement Techniques on Low Contrast Images

E Onyedinma, I Onyenwe, H Inyiama

Image enhancement aims at improving the information content of original image for a specific purpose. This purpose could be for visual interpretation or for effective extraction of…

cs.CL2019

Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo

Onyenwe Ikechukwu E, Onyedinma Ebele G, Aniegwu Godwin E +1

Most languages, especially in Africa, have fewer or no established part-of-speech (POS) tagged corpus. However, POS tagged corpus is essential for natural language processing (NLP)…