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casa
CASA: An aspect-based sentiment analysis dataset consisting of around a thousand car reviews collected from multiple Indonesian online automobile platforms (Ilmania et al., 2018).
The dataset covers six aspects of car quality.
We define the task to be a multi-label classification task,
where each label represents a sentiment for a single aspect with three possible values: positive, negative, and neutral.
Dataset Usage
Run pip install nusacrowd before loading the dataset through HuggingFace's load_dataset.
Citation
@INPROCEEDINGS{8629181,
author={Ilmania, Arfinda and Abdurrahman and Cahyawijaya, Samuel and Purwarianti, Ayu},
booktitle={2018 International Conference on Asian Language Processing (IALP)},
title={Aspect Detection and Sentiment Classification Using Deep Neural Network for Indonesian Aspect-Based Sentiment Analysis},
year={2018},
volume={},
number={},
pages={62-67},
doi={10.1109/IALP.2018.8629181
}
License
CC-BY-SA 4.0
Homepage
https://github.com/IndoNLP/indonlu
NusaCatalogue
For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue
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