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Published September 10, 2018 | Version v1
Dataset Restricted

PAN18 Author Profiling

  • 1. Universität Leipzig
  • 2. Bauhaus-Universität Weimar

Description

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

Files

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Additional details

References

  • 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.