Datasets:
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} | |
} | |
``` |