September 5, 2016 Dataset Restricted Access

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

MARC21 XML Export

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    <subfield code="x">Francisco Rangel, Paolo Rosso, Ben Verhoeven, Walter Daelemans, Martin Potthast, and Benno Stein. Overview of the 4th Author Profiling Task at PAN 2016: Cross-Genre Evaluations. In Krisztian Balog, Linda Cappellato, Nicola Ferro, and Craig Macdonald, editors, CLEF 2016 Evaluation Labs and Workshop – Working Notes Papers, 5-8 September, Évora, Portugal, September 2016. CEUR-WS.org. ISSN 1613-0073.</subfield>
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    <subfield code="u">Universität Leipzig</subfield>
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    <subfield code="u">Bauhaus-Universität Weimar</subfield>
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    <subfield code="a">Stein, Benno</subfield>
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    <subfield code="a">&lt;p&gt;We provide&amp;nbsp;a training data set that consists of Twitter tweets in English, Spanish and Dutch.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Remark.&lt;/strong&gt; Due to Twitter&amp;#39;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&amp;#39;s API. When we evaluate your software at our site, we do not expect it downloads tweets. We will do this beforehand.&lt;/p&gt;

&lt;p&gt;More information about the task:&amp;nbsp;&lt;a href="https://pan.webis.de/clef16/pan16-web/author-profiling.html"&gt;Link&lt;/a&gt;&lt;/p&gt;</subfield>
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