PAN
Published September 15, 2014 | Version v1
Dataset Open

PAN14 Author Profiling

Authors/Creators

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

Description

We provide you with a training data set that consists of blog posts, Twitter tweets and social media texts written in both English and Spanish as well as hotel reviews written in English. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.

Files

pan14-author-profiling-training-corpus-2014-04-16.zip

Files (204.2 MB)

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md5:12016904a32c36542e0a0049913ae287
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Additional details

References

  • Francisco Rangel, Paolo Rosso, Irina Chugur, Martin Potthast, Martin Trenkmann, Benno Stein, Ben Verhoeven, and Walter Daelemans. Overview of the 2nd Author Profiling Task at PAN 2014. In Linda Cappellato, Nicola Ferro, Martin Halvey, and Wessel Kraaij, editors, Working Notes Papers of the CLEF 2014 Evaluation Labs, September 2014. CEUR-WS.org. ISSN 1613-0073.