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
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;
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
DOI :
10.1109/ISI.2008.4565076
