Published September 11, 2017
| Version v1
Dataset
Restricted
PAN17 Author Profiling
- 1. Universität Leipzig
- 2. Bauhaus-Universität Weimar
Description
We provide you with a training data set that consists of Twitter tweets in English, Spanish, Portuguese and Arabic, labeled with gender and language variety.
More information about the task: Link
Files
Additional details
References
- Francisco Rangel, Paolo Rosso, Martin Potthast, and Benno Stein. Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter. In Linda Cappellato, Nicola Ferro, Lorraine Goeuriot, and Thomas Mandl, editors, CLEF 2017 Evaluation Labs and Workshop – Working Notes Papers, 11-14 September, Dublin, Ireland, September 2017. CEUR-WS.org. ISSN 1613-0073.