Dr. Jotham Gaudoin BA (Hons), BSc (Hons), MA (Hons), PGCert, PGDip, MSc, PhD FHEA
Senior Lecturer
Summary
I am Senior Lecturer in Mathematics and Statistics with particular interests in Bayesian methods and the analysis of eSports data.
Teaching
Mathematics
BSc (Hons) Mathematics
Publications
Journal articles
Ogunleye, B., Maswera, T., Hirsch, L., Gaudoin, J., & Brunsdon, T. (2023). Comparison of topic modelling approaches in the banking context. Applied Sciences, 13 (2), 797. http://doi.org/10.3390/app13020797
Conference papers
Haddela, P., Hirsch, L., Gaudoin, J., & Brunsdon, T. (2021). Human Friendliness of Classifiers: A Review. In 2nd International Conference on Emerging Technologies in Data Mining and Information Security, Kolkata, West Bengal, India, 2 July 2020 - 4 July 2020 (pp. 293-303). Springer: http://doi.org/10.1007/978-981-33-4367-2_29
Kankanamalage, P.H., Hirsch, L., Brunsdon, T., & Gaudoin, J. (2020). Use of interpretable evolved search query classifiers for sinhala documents. Proceedings of the Future Technologies Conference (FTC) 2020, 790-804. http://doi.org/10.1007/978-3-030-63128-4_59
Baldwin, J., Brunsdon, T., Gaudoin, J., & Hirsch, L. (2018). Towards a social media research methodology: Defining approaches and ethical concerns. International journal on advances in life sciences, 10. http://www.iariajournals.org/life_sciences/
Theses / Dissertations
Ogunleye, B.O. (2022). Statistical learning approaches to sentiment analysis in the Nigerian banking context. (Doctoral thesis). Supervised by Gaudoin, J., Brunsdon, T., Maswera, T., & Hirsch, L. http://doi.org/10.7190/shu-thesis-00471
Baldwin, J. (2021). Analysing social media data using sentiment analysis in relation to public order. (Doctoral thesis). Supervised by Gaudoin, J. http://doi.org/10.7190/shu-thesis-00439
Postgraduate supervision
James Baldwin (Sentiment analysis of Twitter data) and Prasanna Kankanamalage (Designing human interpretable text classifiers)