Automatic Text Classification as Relevance Measure for Russian School Physics Texts

The research tests two text classification methods applied to lexical features of Russian physics schoolbook texts. The research findings indicate that text classification methods can be implemented effectively to identify if a text relevant for a specific topic or a year of studying. We use and describe results via classical methods to validate the classification models.