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README.md
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- keyword-tagging
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language:
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- ind
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---
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- keyword-tagging
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language:
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- ind
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---
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TermA is a span-extraction dataset collected from the hotel aggregator platform, AiryRooms
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(Septiandri and Sutiono, 2019; Fernando et al.,
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2019) consisting of thousands of hotel reviews,each containing a span label for aspect
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and sentiment words representing the opinion of the reviewer on the corresponding aspect.
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The labels use Inside-Outside-Beginning tagging (IOB) with two kinds of tags, aspect and
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sentiment.
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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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```@article{winatmoko2019aspect,
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title={Aspect and opinion term extraction for hotel reviews using transfer learning and auxiliary labels},
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author={Winatmoko, Yosef Ardhito and Septiandri, Ali Akbar and Sutiono, Arie Pratama},
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journal={arXiv preprint arXiv:1909.11879},
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year={2019}
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}
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@inproceedings{fernando2019aspect,
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title={Aspect and opinion terms extraction using double embeddings and attention mechanism for indonesian hotel reviews},
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author={Fernando, Jordhy and Khodra, Masayu Leylia and Septiandri, Ali Akbar},
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booktitle={2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},
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pages={1--6},
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year={2019},
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organization={IEEE}
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}
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```
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## License
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Creative Common Attribution Share-Alike 4.0 International
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## Homepage
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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)
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