Authorship Identification for Online Text

Author

Tan, Richmond Hong Rui ; Tsai, Flora S.

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore

fYear

2010

fDate

20-22 Oct. 2010

Firstpage

155

Lastpage

162

Abstract

Authorship identification for online text such as blogs and e-books is a challenging problem as these documents do not have a considerable amount of content. Therefore, identification is much harder than other documents such as books and reports. The paper investigates the choice of features and classifier accuracy which are suitable for such texts. Syntactic features are found to be good for large data sets, whereas lexical features are good for small data sets. The results can be used to customize and further improve authorship detection techniques according to the characteristics of the writing samples.

Keywords

data mining; feature extraction; pattern classification; text analysis; authorship detection technique; authorship identification; classifier accuracy; e-books; lexical feature; online text; syntactic feature; writing sample; Accuracy; Blogs; Databases; Feature extraction; Syntactics; Vocabulary; Writing; authorship attribution; authorship detection; authorship identification; blog; classification; data mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Cyberworlds (CW), 2010 International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-8301-3

Electronic_ISBN

978-0-7695-4215-7

Type

conf

DOI

10.1109/CW.2010.50

Filename

5656486