Title: Know-Center at PAN 2015 author identification Notebook for PAN at CLEF 2015
Abstract: Our system for the PAN 2015 authorship verification challenge is based upon a two step pre-processing pipeline. In the first step we extract different fea- tures that observe stylometric properties, grammatical characteristics and pure statistical features. In the second step of our pre-processing we merge all those features 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 report the results from the final evaluation as well as on the training datasets.
Publication Year: 2015
Publication Date: 2015-01-01
Language: en
Type: article
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