| tags: | |
| - aspect-based-sentiment-analysis | |
| language: | |
| - ind | |
| 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 | |
| ### NusaCatalogue | |
| For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue) |