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Unsupervised User Stance Detection on Twitter.

ICWSM, (2020): 141-152

Cited by: 0|Views33
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Abstract

We present a highly effective unsupervised method for detecting the stance of 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 m...More

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Author
Peter Stefanov
Peter Stefanov
Michaël J. Aupetit
Michaël J. Aupetit
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