Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
sentiment-classification
Languages:
Bengali
Size:
10K - 100K
License:
metadata
language:
- bn
task_categories:
- text-classification
pretty_name: SentNoB
task_ids:
- sentiment-classification
annotations_creators:
- expert-generated
language_creators:
- expert-generated
Dataset Card for "SentNoB"
Dataset Summary
Social Media User Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0).
Dataset Structure
Data Fields
The data fields are the same among all splits.
format
- Data: a string feature.
- Label: a classification label, with values including neutral (0), positive (1), negative (2).
Citation Information
@inproceedings{islam2021sentnob,
title={SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts},
author={Islam, Khondoker Ittehadul and Kar, Sudipta and Islam, Md Saiful and Amin, Mohammad Ruhul},
booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021},
pages={3265--3271},
year={2021}
}