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Description
  • Misuse of anonymous online communication for illegal purposes has become a major concern. In this paper, we present a framework named ART (Authorship Recognition Tool), that is designed to minimize manual procedures and maximize the efficiency of authorship identification based on the content of Internet electronic documents. The framework covers the phases of document retrieval and database document management. ART provides implementations of efficient authorship identification algorithm and authorship similarity algorithm including the possibility to obtain extra data for learning and tests. The framework also determines whether or not different author’s identities are interlinked. The authorship is analysed by machine learning and natural language processing methods. Technical information such as IP address is considered only as an optional attribute for the machine learning because it can be easily forged or devalued if the author communicates from public places or through proxy servers.
  • Misuse of anonymous online communication for illegal purposes has become a major concern. In this paper, we present a framework named ART (Authorship Recognition Tool), that is designed to minimize manual procedures and maximize the efficiency of authorship identification based on the content of Internet electronic documents. The framework covers the phases of document retrieval and database document management. ART provides implementations of efficient authorship identification algorithm and authorship similarity algorithm including the possibility to obtain extra data for learning and tests. The framework also determines whether or not different author’s identities are interlinked. The authorship is analysed by machine learning and natural language processing methods. Technical information such as IP address is considered only as an optional attribute for the machine learning because it can be easily forged or devalued if the author communicates from public places or through proxy servers. (en)
Title
  • A Framework for Authorship Identification in the Internet Environment
  • A Framework for Authorship Identification in the Internet Environment (en)
skos:prefLabel
  • A Framework for Authorship Identification in the Internet Environment
  • A Framework for Authorship Identification in the Internet Environment (en)
skos:notation
  • RIV/00216224:14330/11:00054037!RIV12-MV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LC536), 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
  • 183803
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/11:00054037
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • authorship identification; authorship similarity (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A8B717CFCCF8]
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 Fifth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2011
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
  • Horák, Aleš
  • Rygl, Jan
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
  • 978-80-263-0077-9
http://localhost/t...ganizacniJednotka
  • 14330
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