Vote/veto meta-classifier for authorship identification notebook for PAN at CLEF 2011

Abstract

For the PAN 2011 authorship identification challenge we have developed a system based on a meta-classifier which selectively uses the results of multiple base classifiers. In addition we also performed feature engineering based on the given domain of e-mails. We present our system as well as results on the evaluation dataset. Our system performed second and third best in the authorship attribution task on the large data sets, and ranked middle for the small data set in the attribution task and in the verification task.