Experience of applying artificial intelligence methods to identify social network users willing to commit illegal actions

The paper explores various methods of natural language processing (a case study of the Russian language). An attempt is made to build a text classification application using Machine Learning (ML) algorithms. The quality of classification is compared for a large sample of various texts of a general kind and a smaller sample of niche texts. Conclusions are made about the best model of data presentation for solving classification problems.