task_categories:text-classification task_ids:multi-class-classification task_ids:multi-label-classification multilinguality:monolingual language:bn license:other emotion region:us
---
license: other
task_categories:
- text-classification
multilinguality:
- monolingual
language:
- bn
pretty_name: EmoNoBa
task_ids:
- multi-class-classification
- multi-label-classification
tags:
- emotion
paperswithcode_id: emonoba
---

# Dataset Card for "EmoNoBa"

### Dataset Summary

Detecting Multi-labeled Emotion for 6 emotion categories, namely Love, Joy, Surprise, Anger, Sadness, Fear. 

### Citation Information

```
@inproceedings{islam2022emonoba,
  title={EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts},
  author={Islam, Khondoker Ittehadul and Yuvraz, Tanvir and Islam, Md Saiful and Hassan, Enamul},
  booktitle={Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing},
  pages={128--134},
  year={2022}
}
```