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оригинального документа
: http://num-meth.srcc.msu.ru/english/zhurnal/tom_2011/v12r206.html
Дата изменения: Mon Sep 5 15:47:40 2011 Дата индексирования: Mon Oct 1 22:54:20 2012 Кодировка: |
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"A detection method for mass-generated unnatural texts based on the
topical structure analysis" Pavlov A.S., Dobrov B.V. |
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Web spam is considered to be one of the greatest threats to modern search engines. Spammers use a wide range of algorithms to generate multiple unnatural texts. A new general model for texts generated from samples of natural texts is proposed. A new algorithm for detecting unnatural texts based on the topical structure analysis is also proposed. The proposed algorithm is evaluated on synthetic and real-world data. Keywords: web spam, topical structure, modeling.
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Pavlov A.S. e-mail: pavvloff@gmail.com;
Dobrov B.V. e-mail: dobroff@mail.cir.ru |