Year: 2013
Type: article
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 adapt-ability of the detection approaches when given different genres. For this purpose a corpus with four different parts (subcorpora) has been compiled: social me-dia, 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. 1
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2140907953