Abstract
Given the specification of ACREA CR, a commercial partner of UFAL, a software for binary classification of documents written in the Russian language was implemented. New documents are classified as relevant or non-relevant with respect to a given topic, while the topic is specified using a training dataset of documents that are relevant for the topic.