TweetSentBR evaluates sentiment classification for Brazilian Portuguese tweets.
unassessed
| Category | domain |
|---|---|
| Subcategory | Brazilian Portuguese sentiment |
| Page status | active |
| Metric | accuracy |
| Direction | higher_is_better |
| Unit | percent |
| Dataset size | 2085 |
| Publisher | NILC, University of São Paulo (original corpus); Stanford CRFM HELM (few-shot scenario) |
Tweets are labeled Positive, Negative, or Neutral by multiple annotators.
Classify each tweet into one of three labels.
No model card in ModelSpec reports this benchmark yet.