• Exploring cross-lingual learning techniques for advancing Tshivenda NLP coverage 

  Nemakhavhani, Ndamulelo (University of Pretoria, 2023-06)

  The information age has been a critical driver in the impressive advancement of Natural Language Processing (NLP) applications in recent years. The benefits of these applications have been prominent in populations with ...
• Learning industrial descriptions : NLP tasks for acronym expansion 

  Johnson, Shaun (University of Pretoria, 2024-02)

  The human language is cryptic since words can be interpreted differently based upon the context within which they occur. The exact meaning of a particular word in its context might be trivial for humans who are generally ...
• Sentiment analysis using unsupervised learning for local government elections in South Africa 

  Matloga, Mokgadi Penelope (University of Pretoria, 2023-11)

  Understanding public sentiment is vital for political parties in order for them to be able to structure their election campaigns around voter expectations. The study focuses on unsupervised learning to assess the variation ...
• Analysing public transport user sentiment 

  Myoya, Rozina L. (University of Pretoria, 2024)

  In many Sub-Saharan countries, the advancement of public transport is frequently overshadowed by more prioritised sectors, highlighting the need for innovative approaches to enhance both the Quality of Service (QoS) and ...
• Using NER and Doc2Vec to cluster South African criminal cases 

  Nchachi, Carel Kagiso (University of Pretoria, 2021)

  The judicial system is the central pillar of law and order across the world. It is re- sponsible for maintaining order amongst citizens and also solving litigations that arise. Although this system has worked quite well, ...
• An investigation of the effectiveness of using Twitter data for predicting South African protests with Graph Neural Networks 

  Ngomane, Derwin (University of Pretoria, 2024-04)

  Social media creates an echo chamber effect that is closely related to social movement theory, which aims to mobilise people to change society. In South Africa, there has been an increase in protests that appear to have ...
• Real-time task schedulability analysis via spotlight abstraction 

  Nxumalo, Madoda (University of Pretoria, 2023-12-08)

  The schedulability analysis of real-time systems is challenged by the state space complexity of such systems. It is difficult to develop concrete state space models that can be used to verify the schedulability of real-time ...
• A Study of bi-space search for bin packing problems 

  Beckedahl, Derrick (University of Pretoria, 2024-03)

  Traditionally, search techniques explore a single space, namely the solution space, to find a solution to a discrete optimisation problem. However, as the field has developed, the effectiveness of working in alternative ...
• Analysis of Catastrophic Interference with Application to Spline Neural Architectures 

  Van Deventer, Heinrich Pieter (University of Pretoria, 2024-02-14)

  Continual learning is the sequential learning of different tasks by a machine learning model. Continual learning is known to be hindered by catastrophic interference or forgetting, i.e. rapid unlearning of earlier learned ...
• Nash equilibria in generalised dining philosophers games 

  Van Rooyen, Johan Pieter (University of Pretoria, 2023)

  The Generalised Dining Philosophers Game (GDPG) consists of agents which must cooperate (or compete) for shared resources. As there are several cooperating agents, we can think of the GDPG as a multi-agent system. In ...
• Interpretable machine learning in natural language processing for misinformation data 

  Nkalashe, Yolanda (University of Pretoria, 2022-11)

  The interpretability of models has been one of the focal research topics in the machine learning community due to a rise in the use of black box models and complex state-of-the-art models [6]. Most of these models are ...
• South African isiZulu and siSwati news corpus creation, annotation and categorisation 

  Madodonga, Andani (University of Pretoria, 2022)

  South Africa has eleven official languages and amongst the eleven languages only 9 languages are local low-resourced languages. As a result, it is essential to build the resources for these languages so that they can ...
• BantuBERTa : using language family grouping in multilingual language modeling for Bantu languages 

  Parvess, Jesse (University of Pretoria, 2023)

  It was researched whether a multilingual Bantu pretraining corpus could be created from freely available data. Here, to create the dataset, Bantu text extracted from datasets that are freely available online (mainly from ...
• Using distributed ledger technology for digital forensic investigation purposes on tendering projects 

  Ramazhamba, Pardon Takalani (University of Pretoria, 2023-01-30)

  The tendering system used by the South African Government is regarded as a central method used by the organs of state to procure goods and services, including delivering some services to citizens with the aim of promoting ...
• A study of pheromone maps for ant colony optimization hyper-heuristics 

  Singh, Emilio (University of Pretoria, 2022)

  In recent years, there has been an increasing development of hyper-heuristics in the field of combinatorial optimisation. Broadly speaking, the term hyper-heuristic refers to a technique or algorithm that aims to provide ...
• Automated design of the deep neural network pipeline 

  Gerber, Mia (University of Pretoria, 2021)

  Deep neural networks have been shown to be very effective for image processing and text processing. However the big challenge is designing the deep neural network pipeline, as it is time consuming and requires machine ...
• Ukhetho : A Text Mining Study Of The South African General Elections 

  Moodley, Avashlin (University of Pretoria, 2019)

  The elections in South Africa are contested by multiple political parties appealing to a diverse population that comes from a variety of socioeconomic backgrounds. As a result, a rich source of discourse is created to ...
• Dynamic multi-objective optimization for financial markets 

  Atiah, Frederick Ditliac (University of Pretoria, 2019)

  The foreign exchange (Forex) market has over 5 trillion USD turnover per day. In addition, it is one of the most volatile and dynamic markets in the world. Market conditions continue to change every second. Algorithmic ...
• Genetic Programming Approach for Nonstationary Data Analytics 

  Kuranga, Cry (University of Pretoria, 2021-02-16)

  Nonstationary data with concept drift occurring is usually made up of different underlying data generating processes. Therefore, if the knowledge of the existence of different segments in the dataset is not taken into ...
• Informed e-Consent Framework for Privacy Preservation in South African Health Information Systems 

  Zazaza, Lelethu (University of Pretoria, 2020)

  The South African Constitution advocates the protection of personal information. Everyone has the right to privacy. This includes the protection of special information that relates to an individual’s biometrics, health, ...

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