DocumentCode
3302266
Title
Identifying Distinct Components of a Multi-author Document
Author
Akiva, Navot ; Koppel, Moshe
Author_Institution
Dept. of Comput. Sci., Bar Ilan Univ., Ramat Gan, Israel
fYear
2012
fDate
22-24 Aug. 2012
Firstpage
205
Lastpage
209
Abstract
Given a multi-author document, we use unsupervised methods to identify distinct authorial threads. Although this problem is of great practical interest for security and forensic reasons, as well as for commercial purposes, this paper is, to the best of our knowledge, the first presentation of a general-purpose method for solving it.
Keywords
data mining; security of data; text analysis; distinct authorial threads; distinct components; forensic reasons; general-purpose method; multiauthor document; security; text mining; Blogs; Educational institutions; Plagiarism; Security; Supervised learning; Vectors; Writing; Authorship Attribution; Document Clustering; Text Mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics Conference (EISIC), 2012 European
Conference_Location
Odense
Print_ISBN
978-1-4673-2358-1
Type
conf
DOI
10.1109/EISIC.2012.16
Filename
6298832
Link To Document