The Application of Text Mining Algorithms to Discover One Topic Objects in Digital Learning Repositories

Abstract

The article considers the process of digital transformation of education and the existing issues in this field. Digital technologies improve the efficiency of backend processes taking place within the unified learning platforms. The article offers possible solutions to the issue of one topic objects search in the learning repositories based on the case study of the Moscow Electronic School - a massive database of learning objects. The solution suggested in the article includes a special text mining model developed to analyze lesson script titles and a programmed algorithm aimed at extracting one topic lesson scripts and visualizing them in two-dimensional space. The efficiency of the developed model is supported by the visualization of 36,644 lesson scripts stored in the E-Library of the Moscow Electronic School.