Dataset Restricted Access
Rangel, Francisco;
Rosso, Paolo;
Potthast, Martin;
Stein, Benno
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
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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.
All versions | This version | |
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Views | 976 | 976 |
Downloads | 176 | 176 |
Data volume | 7.7 GB | 7.7 GB |
Unique views | 676 | 676 |
Unique downloads | 89 | 89 |