Datasets:

Languages:
Indonesian
ArXiv:
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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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+
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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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+
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+
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+ ## Dataset Usage
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+
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+ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
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+
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+ ## Citation
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+
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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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+
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+ ## License
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+
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+ Creative Common Attribution Share-Alike 4.0 International
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+
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+ ## Homepage
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+
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+ ### NusaCatalogue
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+
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+ For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)