Authorship Attribution via Sequence Kernels , Markov Chains and Author Unmasking : An Investigation

Abstract

We present an investigation of recently proposed character and word sequence kernels for the task of authorship attribution based on relatively short texts. Performance is compared with two corresponding probabilistic approaches based on Markov chains. Several configurations of the sequence kernels are studied on a relatively large dataset (50 authors… (More)

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