The study of extremist texts features

Authors

Smirnoff I. Devyatkin D. Suvorova (Ananieva) M. Kobozeva M.

Annotation

This article presents methods for identifying the extremist activities of violent groups and individuals within the Internet. We describe our training and testing datasets in Russian and Tatar, as well as research of Russian extremist text characteristics. This resulted in a formation of a feature set for the extremist texts. The applicability of these features for detection of extremist messages was empirically showed.

External links

PDF at the Institute for Systems Analysis of Russian Academy of Sciences website (in Russian): http://www.isa.ru/proceedings/images/documents/2017-67-3/t-3-17_86-97.pdf

Proceeding  of the Institute for Systems Analysis of the Russian Academy of Science journal: http://www.isa.ru/proceedings/index.php?option=com_content&view=article&id=979&Itemid=0&lang=en

Reference link

Ananeva M. I. Devyatkin D. A, Kobozeva M. V., Smyrnov I. V., Solovyev F. N., Chapovsky A. M. The study of extremist texts features // Works of the Institute of System Analysis of the Russian Academy of Sciences. - 2017. - Vol. 67. - №. 3. – Page 86-97.