Assessing interpretability in machine translation models for low-resource languages

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From text annotation to an auto-regressive language model for sentiment analysis in South African financial reviews

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Quality evaluation strategies for synthetic code-switched data in support of language learning applications

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Evaluating a human-machine student intervention framework in higher education from legacy data

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Unsupervised Anomaly Detection of Healthcare Providers using Generative Adversarial Network

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Ukhetho : a text mining study of the South African general elections

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Financial sentiment analysis : an NLP approach towards reputation management

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Identifying financial risk through natural language processing of company annual reports

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Thuto: Depth Analysis of South African and Sierra Leone School Outcomes using Machine Learning

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Conversational mining via motif detection

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BantuBERTa : using language family grouping in multilingual language modeling for Bantu languages

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South African isiZulu and siSwati news corpus creation, annotation and categorisation

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Interpretable machine learning in natural language processing for misinformation data

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An investigation of the effectiveness of using Twitter data for predicting South African protests with Graph Neural Networks

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Using NER and Doc2Vec to cluster South African criminal cases

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A few-shot learning approach for a multilingual agro-information question answering system

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Analysing public transport user sentiment

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Sentiment analysis using unsupervised learning for local government elections in South Africa

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Learning industrial descriptions : NLP tasks for acronym expansion

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Exploring cross-lingual learning techniques for advancing Tshivenda NLP coverage

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