Zobrazeno 1 - 10
of 3 376
pro vyhledávání: '"TO Ogunleye"'
Publikováno v:
Shobayo O., Adeyemi-Longe S., Popoola O., & Ogunleye B. (2024). Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach. Big Data and Cognitive Computing, 8(11), 143
This study explores the comparative performance of cutting-edge AI models, i.e., Finaance Bidirectional Encoder representations from Transsformers (FinBERT), Generatice Pre-trained Transformer GPT-4, and Logistic Regression, for sentiment analysis an
Externí odkaz:
http://arxiv.org/abs/2412.06837
Publikováno v:
Mathematics, 12(23), 3801 (2024)
Stock price prediction is challenging due to global economic instability, high volatility, and the complexity of financial markets. Hence, this study compared several machine learning algorithms for stock market prediction and further examined the in
Externí odkaz:
http://arxiv.org/abs/2412.06836
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 machine learning (ML) techniques are limited. Prior studies have applie
Externí odkaz:
http://arxiv.org/abs/2409.13713
Autor:
Ogunleye, Akindele
The study investigated roles of institutional types and ethnic/racial background on academic credit among the traditionally underrepresented population of the U.S. study abroad program. Using archival data, the study sampled the students' enrollment
Externí odkaz:
http://arxiv.org/abs/2406.15493
Autor:
Ogunleye, Bayode, Zakariyyah, Kudirat Ibilola, Ajao, Oluwaseun, Olayinka, Olakunle, Sharma, Hemlata
Publikováno v:
Educ. Sci. 2024, 14, pp636
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 systems in higher education (HE) and, thus, it is still unclear how to mak
Externí odkaz:
http://arxiv.org/abs/2406.09520
Autor:
Ogunleye, Bayode, Zakariyyah, Kudirat Ibilola, Ajao, Oluwaseun, Olayinka, Olakunle, Sharma, Hemlata
Publikováno v:
Higher education assessment practice in the era of generative AI tools. (2024). Journal of applied learning and teaching, 7(1)
The higher education (HE) sector benefits every nation's economy and society at large. However, their contributions are challenged by advanced technologies like generative artificial intelligence (GenAI) tools. In this paper, we provide a comprehensi
Externí odkaz:
http://arxiv.org/abs/2404.01036
Publikováno v:
Analytics, 2(4), 809-823 (2023)
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 purchasing behaviour. Retail companies are pressed with the need to deal with
Externí odkaz:
http://arxiv.org/abs/2402.04103
Autor:
Ogunleye, Bayode, Dharmaraj, Babitha
Publikováno v:
Analytics 2 (2023), no. 3: 694-707
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 is a severe threat to the mental and physical health of citizens. This
Externí odkaz:
http://arxiv.org/abs/2402.04088
Publikováno v:
Analytics, 3(1), 30-45 (2024)
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 not solely determined by its physical attributes but is significantly
Externí odkaz:
http://arxiv.org/abs/2402.04082
Publikováno v:
Applied Sciences (2023), 13(2), 797
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 industries to monitor their customer discussions. The use of traditional
Externí odkaz:
http://arxiv.org/abs/2402.03176