Complete syntactic N-grams as style markers for authorship attribution

Juan Pablo Posadas-Duran; Grigori Sidorov; Ildar Batyrshin

doi:10.1007/978-3-319-13647-9_2

Complete syntactic N-grams as style markers for authorship attribution

Juan Pablo Posadas-Duran, Grigori Sidorov, Ildar Batyrshin

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

In this paper we present an authorship attribution method based on the use of complete (non-continuous, with bifurcations) syntactic n-grams as style markers. Syntactic n-grams are obtained by following paths in subtrees of a syntactic tree. We work with relatively short text fragments and build authors’ profiles of various sizes using tf-idf scheme. We train SVM classifier to perform the task. We compare the method with the application of character n-grams and show that the accuracy increases when using complete syntactic n-grams.

Original language	English
Pages (from-to)	9-17
Number of pages	9
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8856
DOIs	https://doi.org/10.1007/978-3-319-13647-9_2
State	Published - 2014

Keywords

Authorship attribution
SVM
Style markers
Syntactic markers
Syntactic n-grams
Syntactic paths

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10.1007/978-3-319-13647-9_2

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AU - Sidorov, Grigori

AU - Batyrshin, Ildar

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AB - In this paper we present an authorship attribution method based on the use of complete (non-continuous, with bifurcations) syntactic n-grams as style markers. Syntactic n-grams are obtained by following paths in subtrees of a syntactic tree. We work with relatively short text fragments and build authors’ profiles of various sizes using tf-idf scheme. We train SVM classifier to perform the task. We compare the method with the application of character n-grams and show that the accuracy increases when using complete syntactic n-grams.

KW - Authorship attribution

KW - SVM

KW - Style markers

KW - Syntactic markers

KW - Syntactic n-grams

KW - Syntactic paths

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JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Complete syntactic N-grams as style markers for authorship attribution

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Keywords

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