readme: ---
  library_name: BERT
  task: sentiment-analysis
  tags:
  - KinyaBert
  - sentiment analysis
  language: rw
  datasets:
  - https://github.com/afrisenti-semeval/afrisent-semeval-2023/tree/main/SubtaskA
  ---
  # Kinyarwanda twitter sentiment analysis
  A sentiment analysis model in Kinyarwanda trained using tweets and trained using a BERT model trained on Kinyarwanda dataset
  
  # Dataset information
  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)
  
  # Model limitations
  The model was trained on a small dataset of tweets, which can present limitations in accuracy on other datasets
  
  # Result
  Accuracy: 85%