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README.md

@@ -3,4 +3,38 @@ tags:
 - aspect-based-sentiment-analysis
 language:
 - ind
----
+---
+
+
+HoASA: An aspect-based sentiment analysis dataset consisting of hotel reviews collected from the hotel aggregator platform, AiryRooms.
+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.
+There are four possible sentiment classes for each sentiment label:
+positive, negative, neutral, and positive-negative.
+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).
+
+
+## Dataset Usage
+
+Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
+
+## Citation
+
+```
+@inproceedings{azhar2019multi,
+  title={Multi-label Aspect Categorization with Convolutional Neural Networks and Extreme Gradient Boosting},
+  author={A. N. Azhar, M. L. Khodra, and A. P. Sutiono}
+  booktitle={Proceedings of the 2019 International Conference on Electrical Engineering and Informatics (ICEEI)},
+  pages={35--40},
+  year={2019}
+}
+```
+
+## 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)