Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
sentiment-classification
Languages:
Bengali
Size:
10K - 100K
License:
{ | |
"plain_text": { | |
"description": "Social Media User Comment Sentiment Analysis Dataset. Each user comments are labeled with either positive (1), negative (2), or neutral (0).", | |
"citation": "@inproceedings{islam2021sentnob,\n title={SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts},\n author={Islam, Khondoker Ittehadul and Kar, Sudipta and Islam, Md Saiful and Amin, Mohammad Ruhul},\n booktitle={Findings of the Association for Computational Linguistics: EMNLP 2021},\n pages={3265--3271},\n year={2021}\n}", | |
"homepage": "https://github.com/KhondokerIslam/SentNoB", | |
"license": "", | |
"post_processed": null, | |
"supervised_keys": null, | |
"task_templates": [{"task": "text-classification", "text_column": "Data", "label_column": "Label", "labels": ["neutral", "positive", "negative"]}], | |
"builder_name": "SentNoB", | |
} | |
} |