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  1. PAN17 Author Profiling

    • zenodo.org
    Updated Sep 11, 2017
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PAN17 Author Profiling

5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated Sep 11, 2017
Dataset provided by
Leipzig Universityhttp://www.uni-leipzig.de/
Bauhaus-Universit├Ąt Weimarhttp://www.uni-weimar.de/
Authors
Rangel, Francisco; Rosso, Paolo; Potthast, Martin; Stein, Benno
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

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