Pimas Oliver, Kröll Mark, Kern Roman
2015
Know-Center at PAN 2015 author identification
Lecture Notes in Computer Science Working Notes Papers of the CLEF 2015 Evaluation Labs Springer Link Toulouse, France
Our system for the PAN 2015 authorship verification challenge is basedupon a two step pre-processing pipeline. In the first step we extract different fea-tures that observe stylometric properties, grammatical characteristics and purestatistical features. In the second step of our pre-processing we merge all thosefeatures into a single meta feature space. We train an SVM classifier on the gener-ated meta features to verify the authorship of an unseen text document. We reportthe results from the final evaluation as well as on the training datasets