most citedA Systematic Review of Generative AI for Teaching and Learning Practice

219 citations · 562 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IR2025★ 1 cited

Document clustering with evolved multiword search queries

Laurence Hirsch, Robin Hirsch, Bayode Ogunleye

Text clustering holds significant value across various domains due to its ability to identify patterns and group related information. Current approaches which rely heavily on a com…

cs.LG2024★ 54 cited

Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach

Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola +1

This study explores the comparative performance of cutting-edge AI models, i.e., Finaance Bidirectional Encoder representations from Transsformers (FinBERT), Generatice Pre-trained…

cs.LG2024★ 7 cited

GRUvader: Sentiment-Informed Stock Market Prediction

Akhila Mamillapalli, Bayode Ogunleye, Sonia Timoteo Inacio +1

Stock price prediction is challenging due to global economic instability, high volatility, and the complexity of financial markets. Hence, this study compared several machine learn…

cs.CL2024★ 18 cited

Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection

Bayode Ogunleye, Hemlata Sharma, Olamilekan Shobayo

The World Health Organisation (WHO) revealed approximately 280 million people in the world suffer from depression. Yet, existing studies on early-stage depression detection using m…

cs.IR2024★ 219 cited

A Systematic Review of Generative AI for Teaching and Learning Practice

Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao +2

The use of generative artificial intelligence (GenAI) in academia is a subjective and hotly debated topic. Currently, there are no agreed guidelines towards the usage of GenAI syst…

cs.IR2024★ 29 cited

Higher education assessment practice in the era of generative AI tools

Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao +2

The higher education (HE) sector benefits every nation's economy and society at large. However, their contributions are challenged by advanced technologies like generative artifici…

cs.LG2024★ 75 cited

An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market

Jeen Mary John, Olamilekan Shobayo, Bayode Ogunleye

Recently, peoples awareness of online purchases has significantly risen. This has given rise to online retail platforms and the need for a better understanding of customer purchasi…

cs.CL2024★ 33 cited

The Use of a Large Language Model for Cyberbullying Detection

Bayode Ogunleye, Babitha Dharmaraj

The dominance of social media has added to the channels of bullying for perpetrators. Unfortunately, cyberbullying (CB) is the most prevalent phenomenon in todays cyber world, and…

cs.LG2024★ 54 cited

An Optimal House Price Prediction Algorithm: XGBoost

Hemlata Sharma, Hitesh Harsora, Bayode Ogunleye

An accurate prediction of house prices is a fundamental requirement for various sectors including real estate and mortgage lending. It is widely recognized that a property value is…

cs.IR2024★ 59 cited

Comparison of Topic Modelling Approaches in the Banking Context

Bayode Ogunleye, Tonderai Maswera, Laurence Hirsch +2

Topic modelling is a prominent task for automatic topic extraction in many applications such as sentiment analysis and recommendation systems. The approach is vital for service ind…

cs.IR2024★ 13 cited

Analysing the Influence of Macroeconomic Factors on Credit Risk in the UK Banking Sector

Hemlata Sharma, Aparna Andhalkar, Oluwaseun Ajao +1

Macroeconomic factors have a critical impact on banking credit risk, which cannot be directly controlled by banks, and therefore, there is a need for an early credit risk warning s…