PAN16 Author Profiling
We provide a training data set that consists of Twitter tweets in English, Spanish and Dutch.
The English and Spanish datasets are labeled with age and gender, whereas the Dutch one only with gender. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.
More information about the task: Link
- Francisco Rangel, Paolo Rosso, Ben Verhoeven, Walter Daelemans, Martin Potthast, and Benno Stein. Overview of the 4th Author Profiling Task at PAN 2016: Cross-Genre Evaluations. In Krisztian Balog, Linda Cappellato, Nicola Ferro, and Craig Macdonald, editors, CLEF 2016 Evaluation Labs and Workshop – Working Notes Papers, 5-8 September, Évora, Portugal, September 2016. CEUR-WS.org. ISSN 1613-0073.