
# 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}
}
```
task_categories:text-classification task_ids:multi-class-classification task_ids:multi-label-classification multilinguality:monolingual language:bn license:other emotion region:us
{"language": ["bn"], "license": "other", "multilinguality": ["monolingual"], "task_categories": ["text-classification"], "task_ids": ["multi-class-classification", "multi-label-classification"], "paperswithcode_id": "emonoba", "pretty_name": "EmoNoBa", "tags": ["emotion"]}
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #multilinguality-monolingual #language-Bengali #license-other #emotion #region-us 


# Dataset Card for "EmoNoBa"

### Dataset Summary

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




# Dataset Card for "EmoNoBa" ### Dataset Summary

Detecting Multi-labeled Emotion for 6 emotion categories, namely Love, Joy, Surprise, Anger, Sadness, Fear.
TAGS
#task_categories-text-classification #task_ids-multi-class-classification #task_ids-multi-label-classification #multilinguality-monolingual #language-Bengali #license-other #emotion #region-us 
 # Dataset Card for "EmoNoBa" ### Dataset Summary

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