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--- |
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tags: |
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- aspect-based-sentiment-analysis |
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language: |
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- ind |
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--- |
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# hoasa |
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HoASA: An aspect-based sentiment analysis dataset consisting of hotel reviews collected from the hotel aggregator platform, AiryRooms. |
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The dataset covers ten different aspects of hotel quality. Similar to the CASA dataset, each review is labeled with a single sentiment label for each aspect. |
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There are four possible sentiment classes for each sentiment label: |
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positive, negative, neutral, and positive-negative. |
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The positivenegative label is given to a review that contains multiple sentiments of the same aspect but for different objects (e.g., cleanliness of bed and toilet). |
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## Dataset Usage |
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Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`. |
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## Citation |
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``` |
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@inproceedings{azhar2019multi, |
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title={Multi-label Aspect Categorization with Convolutional Neural Networks and Extreme Gradient Boosting}, |
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author={A. N. Azhar, M. L. Khodra, and A. P. Sutiono} |
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booktitle={Proceedings of the 2019 International Conference on Electrical Engineering and Informatics (ICEEI)}, |
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pages={35--40}, |
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year={2019} |
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} |
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``` |
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## License |
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CC-BY-SA 4.0 |
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## Homepage |
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[https://github.com/IndoNLP/indonlu](https://github.com/IndoNLP/indonlu) |
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### NusaCatalogue |
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For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue) |
