Lexical-Syntactic and Graph-Based Features for Authorship Verification
Darnes Vilariño, David Pinto, Helena Gómez-Adorno, Saúl León, Esteban Castillo · 2013
In this paper we present the results obtained by an approach submi- tted to the author identification task of PAN 2013 which uses lexical, syntactic and graph-based features for constructing a representation model of document authors. In particular, the features extracted from the graph represe ntation were obtained by means of the SubDue mining tool. As a classification model we ha ve employed Support Vector Machines (SVM). The overall results have ranked our approach in the fifth place from around 17 teams.