SocialSensor at MediaEval Placing Task 2014

We describe the participation of the SocialSensor team in the Placing Task of MediaEval 2014. We submitted three runs based on tag information for the full test set, using extensions over an existing language modelling approach, and two runs (one based on the full test set and the other on the 25,500 subset) based on visual content, using geospatial clustering and supervised-learning. Our best performance (median error 230km, 23% at 1km) was achieved with the use of tag features, using only internal training data.