The paper presents a corpus and a feature set for training and testing machine learning approaches for extremist texts detection. We have empirically proved the applicability of the feature set to solve the problem of detection of extremist messages.
RUDN. Repository: https://repository.rudn.ru/en/records/article/record/30883/
Ananeva M. I., Devyatkin D. A., Kobozeva M. V., Smirnov I. V. Linguostatistical analysis of extremist texts // In the collection: Situation centers and information and analytical systems of class 4i for monitoring and security tasks (SCVRT1516) Works of the International Scientific Conference. 2016. Page 210-213