Cross-Lingual Adaptation for Named Entity Recognition in Runyankore

By: PROSPER ARINEITWE ASIIMWE

Supervised By: Jan Buys, Francois Meyer

Runyankore, a Bantu language spoken by millions in Uganda, remains critically underrepresented in Natural Language Processing (NLP). Prior to this study, no publicly accessible dataset existed for Named Entity Recognition (NER) in Runyankore, despite the...

CS Masters in AI

STGNN for share trend line prediction and change point detection on JSE.

Training STGNN Model to predict events of interests; trend lines and to detect trend change points on JSE, to support investment decision making.

By: Ephraim Adongo

Supervised By: Deshen Moodley

This research explores the application of advanced Spatial-Temporal Graph Neural Networks (STGNNs) for predicting events of interest in the Johannesburg Stock Exchange Market (JSE), specifically future share trend lines; how they can be used to detect...

CS Masters in AI