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Description
  • To increase the search result rank of a website, many fake websites full of generated or semigenerated texts have been made in last years. Since we do not want this garbage in our text corpora, this is a becoming problem. This paper describes generated texts observed in the recently crawled web corpora and proposes a new way to detect such unwanted contents. The main idea of the presented approach is based on comparing frequencies of n-grams of words from the potentially forged texts with n-grams of words from a trusted corpus. As a source of spam text, fake webpages concerning loans from an English web corpus as an example of data aimed to fool search engines were used. The results show this approach is able to detect properly certain kind of forged texts with accuracy reaching almost 70 %.
  • To increase the search result rank of a website, many fake websites full of generated or semigenerated texts have been made in last years. Since we do not want this garbage in our text corpora, this is a becoming problem. This paper describes generated texts observed in the recently crawled web corpora and proposes a new way to detect such unwanted contents. The main idea of the presented approach is based on comparing frequencies of n-grams of words from the potentially forged texts with n-grams of words from a trusted corpus. As a source of spam text, fake webpages concerning loans from an English web corpus as an example of data aimed to fool search engines were used. The results show this approach is able to detect properly certain kind of forged texts with accuracy reaching almost 70 %. (en)
Title
  • Detecting Spam in Web Corpora
  • Detecting Spam in Web Corpora (en)
skos:prefLabel
  • Detecting Spam in Web Corpora
  • Detecting Spam in Web Corpora (en)
skos:notation
  • RIV/00216224:14330/12:00062284!RIV13-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LM2010013), 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
  • 130414
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00062284
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • spam detection; web corpora; n-gram (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1C7A7EDC089A]
http://linked.open...v/mistoKonaniAkce
  • Karlova Studánka
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • 6th Workshop on Recent Advances in Slavonic Natural Language Processing
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
  • Baisa, Vít
  • Suchomel, Vít
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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