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Biography

I am currently pursuing a Master of Science degree in Computer Sciences at the University of Pretoria, with a strong focus on Machine Learning, Natural Language Processing (NLP), and Algorithm Optimization. My academic journey has been centered around these areas of study.

In addition to my academic pursuits, I am actively involved in research projects that go beyond the boundaries of academia. I am passionate about using data science to drive positive change in society. Specifically, I specialize in the application of Machine Learning, NLP, and Social Media Analysis to gain insights into complex phenomena related to South African financial institutions.

My main motivation is to use technology to make a difference in society. I am dedicated to closing the knowledge gap and promoting financial literacy in South Africa. By applying advanced machine learning methods, I aim to analyze and understand public sentiment towards financial topics. This will enable individuals and communities to make informed decisions and navigate the complexities of the financial world with confidence.

Ultimately, my goal is to use technology and data science in a meaningful way that benefits society as a whole.

Activities

Education and qualifications (3)

University of Pretoria: Pretoria, ZA

2023-01-01 to 2024-12-31 | Msc Computer Science (Computer Science)
Education
Source: Self-asserted source
Miehleketo Mathebula

University of Pretoria: Pretoria, ZA

2021-01-01 to 2021-12-31 | Bsc Hons Computer Science (Computer Science)
Education
Source: Self-asserted source
Miehleketo Mathebula

University of Limpopo: Polokwane, Limpopo, ZA

2011-01-01 to 2015-12-31 | Bsc Computer Science (Computer Science)
Education
Source: Self-asserted source
Miehleketo Mathebula

Works (2)

ChatGPT as a Text Annotation Tool to Evaluate Sentiment Analysis on South African Financial Institutions

IEEE Access
2024 | Journal article
Contributors: Miehleketo Mathebula; Abiodun Modupe; Vukosi Marivate
Source: check_circle
Crossref

Fine-Tuning Retrieval-Augmented Generation with an Auto-Regressive Language Model for Sentiment Analysis in Financial Reviews

Applied Sciences
2024-11-21 | Journal article
Contributors: Miehleketo Mathebula; Abiodun Modupe; Vukosi Marivate
Source: check_circle
Crossref
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