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
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;
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2012 European
Conference_Location :
Odense
Print_ISBN :
978-1-4673-2358-1
DOI :
10.1109/EISIC.2012.16
