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Datasets:
SEACrowd
/
term_a

Languages:
Indonesian
Tags:
keyword-tagging
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term_a

TermA is a span-extraction dataset collected from the hotel aggregator platform, AiryRooms

(Septiandri and Sutiono, 2019; Fernando et al.,

  1. consisting of thousands of hotel reviews,each containing a span label for aspect

and sentiment words representing the opinion of the reviewer on the corresponding aspect.

The labels use Inside-Outside-Beginning tagging (IOB) with two kinds of tags, aspect and

sentiment.

Dataset Usage

Run pip install nusacrowd before loading the dataset through HuggingFace's load_dataset.

Citation 

@article{winatmoko2019aspect,
  title={Aspect and opinion term extraction for hotel reviews using transfer learning and auxiliary labels},
  author={Winatmoko, Yosef Ardhito and Septiandri, Ali Akbar and Sutiono, Arie Pratama},
  journal={arXiv preprint arXiv:1909.11879},
  year={2019}
}
@inproceedings{fernando2019aspect,
  title={Aspect and opinion terms extraction using double embeddings and attention mechanism for indonesian hotel reviews},
  author={Fernando, Jordhy and Khodra, Masayu Leylia and Septiandri, Ali Akbar},
  booktitle={2019 International Conference of Advanced Informatics: Concepts, Theory and Applications (ICAICTA)},
  pages={1--6},
  year={2019},
  organization={IEEE}
}

License

Creative Common Attribution Share-Alike 4.0 International

Homepage

https://github.com/IndoNLP/indonlu

NusaCatalogue

For easy indexing and metadata: https://indonlp.github.io/nusa-catalogue

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