GronUP: Groningen User Profiling: Notebook for PAN at CLEF 2016
Mart Busger op Vollenbroek, Talvany Carlotto, Tim Kreutz, Masha Medvedeva, Chris W. Pool, Johannes Bjerva, Hessel Haagsma, Malvina Nissim · Cross-Language Evaluation Forum · 2016
We trained an SVM model on tweets to perform user profiling, in terms of gender and age, on non-Twitter social media data. The system exploits features that we deemed appropriate to profile authors on social media, and that do not characterise too closely the specific usage of Twitter. Our system works on English, Dutch, and Spanish data without any language-specific tuning of features or parameters. Results on the cross-validated training set seem to indicate that features contribute rather equally to the model’s performance.