System and method of training a classifier for determining the category of a document

Abstract

The present disclosure is directed to methods and systems for training a classifier for determining the category of a document. In an exemplary aspect, a method comprises obtaining one or more documents belonging to a first category as a training sample for a classifier, determining objects contained in each of the one or more documents, forming, by a hardware processor, a set of features consisting of the objects, constructing the classifier by selecting a classification model and training the classifier based on the set of features, obtaining additional documents belonging to the first category, calculating an error of classification of the additional documents using the classifier and when the error exceeds a given value, obtaining a second set of documents belonging to the first category or one or more new categories, otherwise, determining that the classifier is complete.