Automatic methods of text genre identification

In the time of exponential growth of digital documents and particularly texts, the problem of automated text classification has become of the key interest of computer and information science as well as library science. Text classification is used in application to a big variety of related problems such as spam filtering, sentiment analysis, language identification, genre classification etc. In this paper we concentrate on the scientific texts detection which can be considered as a part of genre classification problem.