DFKI-LT - Twitter Geolocation Prediction using Neural Networks

Philippe Thomas, Leonhard Hennig
Twitter Geolocation Prediction using Neural Networks
2 Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology, Berlin, Germany, GSCL, 9/2017
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
Files: BibTeX, geolocation-prediction-twitter.pdf