Dataset Restricted Access
PAN18 Author Profiling
Rangel, Francisco;
Montes-y-Gómez, Manuel;
Potthast, Martin;
Stein, Benno
We provide you with a training data set that consists of Twitter users labeled with gender. For each author, a total of 100 tweets and 10 images are provided. Authors are grouped by the language of their tweets: English, Arabic and Spanish.
More information about the task: Link
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Francisco Rangel, Manuel Montes-y-Gómez, Martin Potthast, and Benno Stein. Overview of the 6th Author Profiling Task at PAN 2018: Cross-domain Authorship Attribution and Style Change Detection. In Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier, editors, CLEF 2018 Evaluation Labs and Workshop – Working Notes Papers, 10-14 September, Avignon, France, September 2018. CEUR-WS.org. ISSN 1613-0073.
| All versions | This version | |
|---|---|---|
| Views | 723 | 723 |
| Downloads | 302 | 302 |
| Data volume | 1.8 TB | 1.8 TB |
| Unique views | 511 | 511 |
| Unique downloads | 153 | 153 |
