---
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}
}
```