A Computational Approach Based on Syntactic Levels of Language in Authorship Attribution

This paper aims to insert a new approach based on syntactic features of the language, which are relating to the essential terms, integrant and accessories of a sentence, such as: subject, predicate and accessories, for the resolution of cases involving the authorship attribution. To this, a database...

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Bibliographic Details
Published in:Revista IEEE América Latina 2016-01, Vol.14 (1), p.259-266
Main Authors: Varela, Paulo Junior, Justino, Edson Jose Rodrigues, Bortolozzi, Flavio, Oliveira, Luiz Eduardo Soares
Format: Article
Language:English
Subjects:
Accessories
Authoring
Authorship Attribution
Classifiers
Conduction
Fusion Methods
Inserts
Internet
Kernel
Sentences
Speech
Support vector machines
Syntactic Features
Syntactics
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Summary:This paper aims to insert a new approach based on syntactic features of the language, which are relating to the essential terms, integrant and accessories of a sentence, such as: subject, predicate and accessories, for the resolution of cases involving the authorship attribution. To this, a database in Portuguese was collected for the experiments. The proposed approach consists of conducting experiments with various fusion methods (sum, mean, median and majority vote), to verify the best performance and method for both authorship verification and identification. To evaluate the approach we used the dependent and independent models. The results generated in authorship verification were between 89-95% accuracy, and 81-90% in the authorship identification through classifiers based on SVM ‑ Support Vector Machines.
ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2016.7430088