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id_stance

Stance Classification Towards Political Figures on Blog Writing.

This dataset contains dataset from the second research, which is combined from the first research and new dataset.

The dataset consist of 337 data, about five target and every target have 1 different event.

Two label are used: 'For' and 'Againts'.

  1. For - the text that is created by author is support the target in an event

  2. Against - the text that is created by author is oppose the target in an event

Dataset Usage

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

Citation

@INPROCEEDINGS{8629144,  
  author={R. {Jannati} and R. {Mahendra} and C. W. {Wardhana} and M. {Adriani}},
  booktitle={2018 International Conference on Asian Language Processing (IALP)},
  title={Stance Classification Towards Political Figures on Blog Writing},
  year={2018},
  volume={},
  number={},
  pages={96-101},
}

License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

Homepage

https://github.com/reneje/id_stance_dataset_article-Stance-Classification-Towards-Political-Figures-on-Blog-Writing

NusaCatalogue

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

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