Student Projects
2023
You can view the project presentations online [Youtube Playlist]
- SABC News Corpus Classification using Machine Learning and Transformer. Abiola Akinbowale
- Identifying South African Infrastructure-related News Articles using CorEx Topic Modelling Adinda Behrens
- Standing on the shoulders of giants! Exploring the effectiveness of pre-trained language models on unseen low-resource languages Bayanda Kutshwa
- Exploring Patterns from the South African Police Service Tweets Mabel Mapuwei
- Topic Modelling of South African Government Speeches with LDA, NMF and BERTopic Murendi Rampai
- Exploring Public Sentiment and Themes in the Post Office Dataset Panashe Mabwe
- Extracting Atoms for the TshiVenda Language. Pandelani Nekhumbe
- Developing a Natural Language Processing-driven categorisation system for SABC news corpus Refiloe Kekana
- ANALYSING SOUTH AFRICAN POLICE TWEETS USING TOPIC MODELING TECHNIQUES Reshay Mahepal
- Unsupervised Sentiment Analysis: A Deep Dive into Understanding Twitter Users Sentiment Towards the South African Post Office Sachin Modi
- Bathong! Exploring South African slang in Twitter Discourse Thokozani Msezane
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2022
You can view the project presentations online [Youtube Playlist]
- Assessing Impact of Tokenizing or Cleaning Emojis on a Sentiment Analysis Task for a Low Resource Language Johann Pienaar
- Fine-grained multi-label classification of sexism using Natural Language Processing Techniques Fiskani Banda
- Twitter Sentiment Analysis on JSE Related Tweets Tsepang Polaki
- Multi-label Classification of Rap Lyrics Matthew Grobler
- Word representation techniques on neural networks Matthew Dickson
- South African mines host community sentiment analysis using a twitter API. Matome Ledwaba
- Sentiment Analysis in Bitcoin Lister Kom
- Impact of word embedding techniques on the classification of fake news Sylvester Mothapo
- Emotionally driven fake news in South Africa Marc Gagiano
- Social media sentiment analysis and topic modelling for the South African insurance companies Penelope Matloga
- E-Commerce Text Classification Tyler Ramnath
- Detection of Fake Online Job Posts Nandi Mnguni
- Sentiment analysis regarding access to free healthcare by immigrants in South Africa Godwin Sichulu
- Investigating Sentiment Analysis Approaches for Low-Resource Languages Victor Dippenaar
- A Comparison of Popular Word Embedding Techniques for Hyperpartisan News Detection with a small dataset Stephan Kersop
- Fake news classification: exploring misclassification by topic Arno Preez
- Aspect-based Sentiment Analysis: Aspect Limiting and Performance Kris Hamersma
- Topical Hate Speech Detection in Multilingual Datasets using State-of-the-Art Transformer Language Models Trishanta Srikissoon
- The Ukriane War according to Twitter - GSDMM Topic extraction on Tweets regarding the war Neacail Hilhorst
- Fake News Detection in a South African Context - using modern NLP Transformers Joshua Da Silva
- Use of NLP Techniques to assess life insurance claims Xolile OReilly
- Sentiment Analysis on an African Language Kapei Sebesho
2021
You can view the project presentations online [Youtube Playlist]
- Evaluating NLP techniques for extracting job ads on Twitter Ndamulelo Nemakhavhani
- Unsupervised cross-lingual word embedding representation for English-isiZulu Derwin Ngomane
- Classification for Setswana News Matimba Shingange
- Semi-supervised learning approaches for predicting South African political sentiment for the local government elections Mashadi Ledwaba
- COVID-19 Economic Impact Analysis: A Topic Modelling Approach Erika Scholtz
- A comparison of classification algorithms for identifying fake news Katlego Mongoai
- Comparison of medicinal use on covid-19 recoveries using machine learning Ntsika Faku
- An ensemble classification of Covid-19 Fake News from Social Media Nelson Phora
- Interpretable ML on Fake News detection Tinashe Chinyati
- Exploring different visualisations for comparing NLP approaches Michiel van Staden
- Trilogy Topic Modelling applied to Aylien COVID-19 dataset Shaun Johnson
- Efficient Transformers for Hate Speech Detection Jesse Parvess
- Online Abuse analysis with Election Twitter Data Christiaan Klopper
2020
- Classification of Hate Speech and offensive language on twitter texts Andani Madodonga
- Fake News Detection: Performance Analysis of Word to Vectorizing Approaches in Conjunction with Machine Learning Approaches Abhay Lal
- Investigating text properties of fake news misclassified by state-of-the-art model BERT Hermann Ulrich Tapamo
- Diversity in South African COVID-19 News Isak Daniel Ungerer
- Unreliable News Detection using Machine Learning Mohlatlego Nakeng
- Hyperpartisan News Detection using Transfer Learning Njabulo Mncwabe
- Exploratory analysis of COVID-19 government tweets for time series approach on topic modeling in South Africa (SA) Nozuko Twala
- Analysing the Effect of Text Augmentation Techniques on a South African Fake News Text Classification Task Pieter van der Walt
- Fake news detection Sakhiwo Mtwenka
- Lockdown Sentiment Analysis Semaka Malapane
- Public Sentiment Evolution and Infection Spread during Covid-19 in South Africa – A Social Media Study Shalom Kgofelo
- Fake News Detection Using Classification Models – a Model Comparison Study Siyabonga Mbonambi
- Comparative Study on BERT, LTSM and Naive Bayes in Predicting Fake News Yolanda Nkalashe
2019
- Fake News Detection using Machine Learning Techniques Abel Mnyakeni
- A well-read machine? Towards a supervised NLP Transfer Learning Architecture Andreas Bayer
- Using transfer learning to predict disinformation Carel Nchachi
- Explainable hyper-partisan news detection using NLP: an investigation Frederik Pretorius
- Investigating Attention based CNN for Fake news detection Henk Kotze
- Stance Detection Using Natural Language Processing Hlompho Lekaka
- On Fake News Detection: Stance detection Khutso Sepuru
- Can NLP detection of disinformation in company annual reports be an indicator of risk? Lamont Theron
- The Experimental Evaluation of Machine Learning Classifiers to Perform News Reliability Verification Lehan Lötter
- To Identify Optimal Multi-Class Machine Learning Algorithm for Hate Speech Detection on Twitter Linae Munsamy
- Topic analysis and feature optimisation to predict the likelihood of disinformation Michelle Terblanche
- Reduce Bias In Hate Speech Detection Palesa Lepamo
- Deceptive Opinions - Fake Amazon Reviews Retshidisitswe Lehata
- Hate Speech Classification and Training Extension to Emails Riaal Domingues
- That’s fake news!! Semaka Malapane