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--- |
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library_name: BERT |
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task: sentiment-analysis |
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tags: |
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- KinyaBert |
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- sentiment analysis |
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language: rw |
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datasets: |
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- https://github.com/afrisenti-semeval/afrisent-semeval-2023/tree/main/SubtaskA |
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--- |
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# Kinyarwanda twitter sentiment analysis |
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A sentiment analysis model in Kinyarwanda trained using tweets and trained using a BERT model trained on Kinyarwanda dataset |
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# Dataset information |
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The dataset was trained on 3000 annotated tweets, here is the [link to the dataset](https://github.com/afrisenti-semeval/afrisent-semeval-2023/blob/main/SubtaskA/train/kr_train.tsv) |
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# Model limitations |
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The model was trained on a small dataset of tweets, which can present limitations in accuracy on other datasets |
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# Result |
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Accuracy: 85% |
