Dr Temitayo Matthew Fagbola

Lexicon-Based Sentiment Analysis and Emotion Classification of Climate Change Related Tweets

Fagbola, T. M., Abayomi, A., Mutanga, M. B., & Jugoo, V. (2022). Lexicon-Based Sentiment Analysis and Emotion Classification of Climate Change Related Tweets. In Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) (637-646). https://doi.org/10.1007/978-3-030-96302-6_60

An SAP Enterprise Resource Planning Implementation Using a Case study of Hospital Management System for Inclusion of Digital Transformation

Aroba, O. J., Owoputi, A. O., & Fagbola, T. M. (2023). An SAP Enterprise Resource Planning Implementation Using a Case study of Hospital Management System for Inclusion of Digital Transformation. International Journal of Computer Information Systems and Industrial Management Applications, 15(2023), 154-165

Smart Face Masks for Covid-19 Pandemic Management: A Concise Review of Emerging Architectures, Challenges and Future Research Directions

Fagbola, T. M., Fagbola, F. I., Aroba, O. J., Doshi, R., Hiran, K. K., & Thakur, S. C. (2023). Smart Face Masks for Covid-19 Pandemic Management: A Concise Review of Emerging Architectures, Challenges and Future Research Directions. IEEE sensors journal, 23(2), 877-888. https://doi.org/10.1109/JSEN.2022.3225067

In silico identification of chemical compounds in Spondias mombin targeting aldose reductase and glycogen synthase kinase 3β to abate diabetes mellitus

Ajiboye, B. O., Fagbola, T. M., Folorunso, I. M., Salami, A. W., Aletile, O. N., Akomolede, B. A., …Oyinloye, B. E. (2023). In silico identification of chemical compounds in Spondias mombin targeting aldose reductase and glycogen synthase kinase 3β to abate diabetes mellitus. Informatics in Medicine Unlocked, 36, Article 101126. https://doi.org/10.1016/j.imu.2022.101126

Lexicon-based bot-aware public emotion mining and sentiment analysis of the Nigerian 2019 presidential election on Twitter

Fagbola, T. M., & Thakur, S. C. (2019). Lexicon-based bot-aware public emotion mining and sentiment analysis of the Nigerian 2019 presidential election on Twitter. International journal of advanced computer science and applications : IJACSA, 10(10), 329-336. https://doi.org/10.14569/ijacsa.2019.0101047