language:ind aspect-based-sentiment-analysis region:us
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.
@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
}
---
tags:
- aspect-based-sentiment-analysis
language:
- ind
---

# 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](https://github.com/IndoNLP/indonlu)

### NusaCatalogue

For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)