%0 Journal Article
%T Document content mining for authors’ identification task
%A Łukasik, Szymon
%A Haręza, Marcin
%A Kaczor, Marcin
%J Technical Transactions
%V 2013
%R 10.4467/2353737XCT.14.001.1989
%N Automatic Control Issue 1-AC (2) 2013
%P 3-15
%K author identification, feature selection, classification
%@ 0011-4561
%D 2013
%U https://ejournals.eu/en/journal/czasopismo-techniczne/article/document-content-mining-for-authors-identification-task
%X 
	This paper deals with automatic authorship attribution through documents content analysis. This approach is based on selecting sets of suitable features relying on specific use of grammar, punctuation or vocabulary and in the next step – executing given classification algorithm. The contribution first overviews various text characteristics which can be employed for that purpose, then presents the results of experiments involving feature selection and examines classifier performance for author identification problem. The paper concludes with discussion and proposals for further research.