TY - JOUR
TI - Document content mining for authors’ identification task
AU - Łukasik, Szymon
AU - Haręza, Marcin
AU - Kaczor, Marcin
TI - Document content mining for authors’ identification task
AB - 
	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.
VL - 2013
IS - Automatic Control Issue 1-AC (2) 2013
PY - 2013
SN - 0011-4561
C1 - 2353-737X
SP - 3
EP - 15
DO - 10.4467/2353737XCT.14.001.1989
UR - https://ejournals.eu/en/journal/czasopismo-techniczne/article/document-content-mining-for-authors-identification-task
KW - author identification
KW - feature selection
KW - classification