Syntactic methods for topic-independent authorship attribution

The efficacy of syntactic features for topic-independent authorship attribution is evaluated, taking a feature set of frequencies of words and punctuation marks as baseline. The features are ‘deep’ in the sense that they are derived by parsing the subject texts, in contrast to ‘shallow’ syntactic fe...

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Bibliographic Details
Published in:	Natural language engineering Vol. 23; no. 5; pp. 789 - 806
Main Authors:	BJÖRKLUND, JOHANNA, ZECHNER, NIKLAS
Format:	Journal Article
Language:	English
Published:	Cambridge, UK Cambridge University Press 01.09.2017
Subjects:	Artificial intelligence Attribution Authoring Authorship Classification Computational linguistics Computer generated language analysis Discriminant analysis Efficacy Experiments Linguistics Novels Parsing Plagiarism Principal components analysis Punctuation Speech Syntactic analysis Syntactic features Syntax Texts Topics Word frequency
ISSN:	1351-3249, 1469-8110, 1469-8110
Online Access:	Get full text
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