Mining E-mail Authorship

this paper we report an investigation into the learning of authorship identication or categorisation for the case of e-mail documents. We use various e-mail document features such as structural characteristics and linguistic evidence to- gether with the Support Vector Machine as the learning al- gorithm. Experiments on a number of e-mail documents give promising results with some e-mail document features and author categories giving better categorisation performance results.

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