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Numerical methods and programming, 2011, Volume 12, Issue 3, Pages 58–72 (Mi vmp220)  
Программирование

A detection method for mass-generated unnatural texts based on the topical structure analysis

A. S. Pavlova, B. V. Dobrovb

a M. V. Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
b M.V. Lomonosov Moscow State University, Research Computing Center
Full-text PDF (764 kB)
Abstract: 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.
Document Type: Article
UDC: 681.513.7
Language: Russian
Citation: A. S. Pavlov, B. V. Dobrov, “A detection method for mass-generated unnatural texts based on the topical structure analysis”, Num. Meth. Prog., 12:3 (2011), 58–72
Citation in format AMSBIB
\Bibitem{PavDob11}
\by A.~S.~Pavlov, B.~V.~Dobrov
\paper A detection method for mass-generated unnatural texts based on the
topical structure analysis
\jour Num. Meth. Prog.
\yr 2011
\vol 12
\issue 3
\pages 58--72
\mathnet{http://mi.mathnet.ru/vmp220}
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  • https://www.mathnet.ru/eng/vmp/v12/i3/p58
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