KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment Analysis
Antoine Nzeyimana · 2023
This paper describes the system entered by the author to the SemEval-2023 Task 12: Sentiment analysis for African languages.The system focuses on the Kinyarwanda language and uses a language-specific model.Kinyarwanda morphology is modeled in a two tier transformer architecture and the transformer model is pre-trained on a large text corpus using multi-task masked morphology prediction.The model is deployed on an experimental platform that allows users to experiment with the pretrained language model fine-tuning without the need to write machine learning code.Our final submission to the shared task achieves second ranking out of 34 teams in the competition, achieving 72.50% weighted F1 score.Our analysis of the evaluation results highlights challenges in achieving high accuracy on the task and identifies areas for improvement.* This work is part of an independent research and development effort towards Kinyarwanda language technology.