Twitter User Geolocation Using a Unified Text and Network Prediction Model

Abstract

We propose a label propagation approach to geolocation prediction based on Modified Adsorption, with two enhancements: (1) the removal of “celebrity” nodes to increase location homophily and boost tractability; and (2) the incorporation of text-based geolocation priors for test users. Experiments over three Twitter benchmark datasets achieve state-of-the-art results, and demonstrate the effectiveness of the enhancements.

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Cite this paper

@inproceedings{Rahimi2015TwitterUG, title={Twitter User Geolocation Using a Unified Text and Network Prediction Model}, author={Afshin Rahimi and Trevor Cohn and Timothy Baldwin}, booktitle={ACL}, year={2015} }