PAN15 Author Profiling
We provide a data set that consists of Twitter tweets in English, Spanish, Italian and Dutch. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-xx. With regard to personality traits, for each trait we will provide scores (between -0.5 and 0.5).
More information about the task: Link
- Francisco Rangel, Fabio Celli, Paolo Rosso, Martin Potthast, Benno Stein, and Walter Daelemans. Overview of the 3rd Author Profiling Task at PAN 2015. In Linda Cappellato, Nicola Ferro, Gareth Jones, and Eric San Juan, editors, CLEF 2015 Evaluation Labs and Workshop – Working Notes Papers, 8-11 September, Toulouse, France, September 2015. CEUR-WS.org. ISSN 1613-0073.