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PAN16 Author Profiling

Rangel, Francisco; Rosso, Paolo; Verhoeven, Ben; Daelemans, Walter; Potthast, Martin; Stein, Benno

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<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Rangel, Francisco</dc:creator>
  <dc:creator>Rosso, Paolo</dc:creator>
  <dc:creator>Verhoeven, Ben</dc:creator>
  <dc:creator>Daelemans, Walter</dc:creator>
  <dc:creator>Potthast, Martin</dc:creator>
  <dc:creator>Stein, Benno</dc:creator>
  <dc:description>We provide a training data set that consists of Twitter tweets in English, Spanish and Dutch.

The English and Spanish datasets are labeled with age and gender, whereas the Dutch one only with gender. With regard to age, we will consider the following classes: 18-24, 25-34, 35-49, 50-64, 65-xx.

Remark. Due to Twitter's privacy policy we cannot provide tweets directly, but only URLs referring to them. You will have to download them yourself. For your convenience, we provide a download software for this. We expect participants to extract gender and age information only from the textual part of a tweet and to discard any other meta information that may be provided by Twitter's API. When we evaluate your software at our site, we do not expect it downloads tweets. We will do this beforehand.

More information about the task: Link</dc:description>
  <dc:title>PAN16 Author Profiling</dc:title>
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