DocumentCode
2143058
Title
A study of the identification of authorship for Chinese texts
Author
Jian, Zhang ; Tianfang, Yao
Author_Institution
Sch. of Software Eng., Shanghai Jiao Tong Univ., Shanghai
fYear
2008
fDate
17-20 June 2008
Firstpage
263
Lastpage
264
Abstract
Style-based text authorship identification extracts features from authorship-known texts, constructs classifier and then identifies disputed texts. Authorship identification belongs to the domain of style classification and is a branch of text classification. In contrast with text classification which deals with the content of texts, authorship identification focuses on the form property of texts. This paper deals with the identification of authorship for Chinese texts.
Keywords
feature extraction; pattern classification; text analysis; Chinese text; classifier; feature extraction; style-based text authorship identification; text classification; Artificial intelligence; Code standards; Data mining; Frequency; Internet; Natural languages; Social network services; Software engineering; Tagging; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4244-2414-6
Electronic_ISBN
978-1-4244-2415-3
Type
conf
DOI
10.1109/ISI.2008.4565076
Filename
4565076
Link To Document