%0 Journal Article
%T Inference of Fine-grained Attributes of Bengali Corpus for Stylometry Detection
%A Chakraborty
%A Tanmoy
%A Bandyopadhyay
%A Sivaji
%J Polibits
%D 2011
%I Scientific Electronic Library Online
%X stylometry, the science of inferring characteristics of the author from the characteristics of documents written by that author, is a problem with a long history and belongs to the core task of text categorization that involves authorship identification, plagiarism detection, forensic investigation, computer security, copyright and est¨¢te disputes etc. in this work, we present a strategy for stylometry detection of documents written in bengali. we adopt a set of fine-grained attribute features with a set of lexical markers for the analysis of the text and use three semi-supervised measures for making decisions. finally, a majority voting approach has been taken for final classification. the system is fully automatic and language-independent. evaluation results of our attempt for bengali author' s stylometry detection show reasonably promising accuracy in comparison to the baseline model.
%K stylometry
%K stylistic markers
%K cosine-similarity
%K chi-square measure
%K euclidean distance.
%U http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=S1870-90442011000200013&lng=en&nrm=iso&tlng=en