Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
sentiment-classification
Languages:
Bengali
Size:
10K - 100K
| language: | |
| - bn | |
| task_categories: | |
| - text-classification | |
| pretty_name: SentNoB | |
| task_ids: | |
| - sentiment-classification | |
| annotations_creators: | |
| - expert-generated | |
| language_creators: | |
| - expert-generated | |
| paperswithcode_id: sentnob | |
| # 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} | |
| } | |
| ``` |