Corpus ID: 102487723

Unsupervised User Stance Detection on Twitter

@article{Darwish2020UnsupervisedUS,
  title={Unsupervised User Stance Detection on Twitter},
  author={Kareem Darwish and P. Stefanov and M. Aupetit and Preslav Nakov},
  journal={ArXiv},
  year={2020},
  volume={abs/1904.02000}
}
We present a highly effective unsupervised framework for detecting the stance of prolific Twitter users with respect to controversial topics. In particular, we use dimensionality reduction to project users onto a low-dimensional space, followed by clustering, which allows us to find core users that are representative of the different stances. Our framework has three major advantages over pre-existing methods, which are based on supervised or semi-supervised classification. First, we do not… Expand
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