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Description
  • Authorship verification is wildly discussed topic at these days. In the authorship verification problem, we are given examples of the writing of an author and are asked to determine if given texts were or were not written by this author. In this paper we present an algorithm using syntactic analysis system SET for verifying authorship of the documents. We propose three variants of two-class machine learning approach to authorship verification. Syntactic features are used as attributes in suggested algorithms and their performance is compared to established word-lenth distribution features. Results indicate that syntactic features provide enough information to improve accuracy of authorship verification algorithms.
  • Authorship verification is wildly discussed topic at these days. In the authorship verification problem, we are given examples of the writing of an author and are asked to determine if given texts were or were not written by this author. In this paper we present an algorithm using syntactic analysis system SET for verifying authorship of the documents. We propose three variants of two-class machine learning approach to authorship verification. Syntactic features are used as attributes in suggested algorithms and their performance is compared to established word-lenth distribution features. Results indicate that syntactic features provide enough information to improve accuracy of authorship verification algorithms. (en)
Title
  • Authorship Verification based on Syntax Features
  • Authorship Verification based on Syntax Features (en)
skos:prefLabel
  • Authorship Verification based on Syntax Features
  • Authorship Verification based on Syntax Features (en)
skos:notation
  • RIV/00216224:14330/12:00062288!RIV13-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(VF20102014003), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 124138
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00062288
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • authorship verification; syntactic analysis; SET; machine learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9423477ABE4A]
http://linked.open...v/mistoKonaniAkce
  • Karlova Studánka, Czech Republic
http://linked.open...i/riv/mistoVydani
  • Brno (Czech Republic)
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kovář, Vojtěch
  • Rygl, Jan
  • Zemková, Kristýna
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Tribun EU
https://schema.org/isbn
  • 9788026303138
http://localhost/t...ganizacniJednotka
  • 14330
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