sustcsenlp/bn_emotion_noisy_dataset

---
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}
}
```

原始信息汇总

数据集概述

数据集名称

• EmoNoBa

数据集描述

• 用于检测6种情绪类别的多标签情绪，包括爱、喜悦、惊讶、愤怒、悲伤、恐惧。

数据集属性

• 许可证：其他
• 任务类别：文本分类
• 多语言性：单语
• 语言：孟加拉语（bn）
• 任务ID：多类分类、多标签分类
• 标签：情绪
• 论文代码ID：emonoba

引用信息

@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} }