DocumentCode
658385
Title
Style Features for Authors in Two Languages
Author
Stuart, Lauren M. ; Tazhibayeva, Saltanat ; Wagoner, Amy R. ; Taylor, J.M.
Author_Institution
CERIAS (Center for Educ. & Res. in Inf. Assurance & Security), Purdue Univ., West Lafayette, IN, USA
Volume
1
fYear
2013
fDate
17-20 Nov. 2013
Firstpage
459
Lastpage
464
Abstract
Stylometry is the measurement of certain expressible features of writing style, and its uses include the characterization of authors for recognition in cases of text whose authorship is disputed or unknown. This work builds upon previous investigation into the success of a particular feature set on a particular corpus. We explore the creation and testing of a small corpus spanning multiple languages and character sets, and the building of a feature set for use in author attribution problems over that corpus. In-depth analysis of results is used to motivate further work.
Keywords
natural language processing; text analysis; English; Russian; authorship attribution; style analysis; style features; stylometry; text authorship; Accuracy; Buildings; Complexity theory; Error analysis; Frequency measurement; Syntactics; English; Russian; authorship attribution; style analysis; stylistics; stylometry; text authorship;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4799-2902-3
Type
conf
DOI
10.1109/WI-IAT.2013.65
Filename
6690051
Link To Document