versão On-line ISSN 1870-9044
Polibits no.44 México Jul./Dez. 2011
Inference of Finegrained Attributes of Bengali Corpus for Stylometry Detection
Tanmoy Chakraborty* and Sivaji Bandyopadhyay**
Manuscript received November 7, 2010.
Manuscript accepted for publication February 6, 2011.
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 estáte disputes etc. In this work, we present a strategy for stylometry detection of documents written in Bengali. We adopt a set of finegrained attribute features with a set of lexical markers for the analysis of the text and use three semisupervised measures for making decisions. Finally, a majority voting approach has been taken for final classification. The system is fully automatic and languageindependent. Evaluation results of our attempt for Bengali author' s stylometry detection show reasonably promising accuracy in comparison to the baseline model.
Key words: Stylometry, stylistic markers, cosinesimilarity, chisquare measure, Euclidean distance.
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