Unsupervised User Stance Detection on Twitter
@article{Darwish2019UnsupervisedUS, title={Unsupervised User Stance Detection on Twitter}, author={Kareem Darwish and Peter Stefanov and Micha{\"e}l Aupetit and Preslav Nakov}, journal={ArXiv}, year={2019}, 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…
89 Citations
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