
# Dataset Card for "SentNoB"

### Dataset Summary

Social Media User Comments' Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0). 

### 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}
}
```
task_categories:text-classification task_ids:sentiment-classification annotations_creators:expert-generated language_creators:expert-generated language:bn region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["expert-generated"], "language": ["bn"], "task_categories": ["text-classification"], "task_ids": ["sentiment-classification"], "paperswithcode_id": "sentnob", "pretty_name": "SentNoB"}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #language-Bengali #region-us 


# Dataset Card for "SentNoB"

### Dataset Summary

Social Media User Comments' Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0). 




# Dataset Card for "SentNoB" ### Dataset Summary

Social Media User Comments' Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0).
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-expert-generated #language_creators-expert-generated #language-Bengali #region-us 
 # Dataset Card for "SentNoB" ### Dataset Summary

Social Media User Comments' Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0).