Publication
Twitter Geolocation Prediction using Neural Networks
Philippe Thomas; Leonhard Hennig
In: Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology. International Conference of the German Society for Computational Linguistics and Language Technology (GSCL-17), September 13-14, Berlin, Germany, GSCL, 9/2017.
Abstract
Knowing the location of a user is important for several use cases, such as location specific recommendations, demographic analysis, or monitoring of disaster outbreaks.
We present a bottom up study on the impact of text- and metadata-derived contextual features for Twitter geolocation prediction. The final model incorporates individual types of tweet information and achieves state-of-the-art performance on a publicly available test set.
The source code of our implementation, together with individual models, is freely available at http://www.dfki.de/lt