|
--- |
|
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} |
|
} |
|
``` |
