Geodesic
A detection method for mass-generated unnatural texts based on the
Numerical methods and programming, Tome 12 (2011) no. 3, pp. 58-72 Cet article a éte moissonné depuis la source Math-Net.Ru

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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. 
@article{VMP_2011_12_3_a10,
     author = {A. S. Pavlov and B. V. Dobrov},
     title = {A detection method for mass-generated unnatural texts based on the},
     journal = {Numerical methods and programming},
     pages = {58--72},
     year = {2011},
     volume = {12},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2011_12_3_a10/}
}
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A. S. Pavlov; B. V. Dobrov. A detection method for mass-generated unnatural texts based on the. Numerical methods and programming, Tome 12 (2011) no. 3, pp. 58-72. http://geodesic.mathdoc.fr/item/VMP_2011_12_3_a10/