Autores UPV
Rangel Pardo Francisco Manuel,
Rosso Paolo,
Chugur Irina,
Potthast Martin,
Trenkmann Martin ,
Stein Benno ,
Verhoeven Ben,
Daeleman Walter
Abstract
This overview presents the framework and the results for the Author
Profiling task at PAN 2014. Objective of this year is the analysis of the adaptability
of the detection approaches when given different genres. For this purpose
a corpus with four different parts (subcorpora) has been compiled: social media,
Twitter, blogs, and hotel reviews. The construction of the Twitter subcorpus
happened in cooperation with RepLab in order to investigate also a reputational
perspective. Altogether, the approaches of 10 participants are evaluated.
