Fine-grained Emotion Detection is the task of detecting one or multiple emotion of a given text.
EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts is a dataset which contains 22,698 instances with each labeled with one or atmost all 6 emotions. The dataset is available here. The models are evaluated based on Macro Average F1-score.
| Model | F1-score | Paper / Source | Code |
|---|---|---|---|
| W1 + W2 + W3+ W4 + C1 + C2 + C3 | 42.81 | EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts | Official |