Sentiment Analysis for the African Language Twi: Translation-based vs. End-to-End Approaches
This paper presents our approach to sentiment analysis for Twi, a low-resource African language. We developed two types of systems: a translation-based system and an end-to-end system. These systems leverage various popular large-scale language models (LLMs), such as BERT and its multilingual varia...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
LibraryPress@UF
2025-05-01
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| Schriftenreihe: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online-Zugang: | https://journals.flvc.org/FLAIRS/article/view/138684 |
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