Decision Support in Assessing the Quality of Students' Educational and Scientific Work Based on Automated Text Analysis of the Document

Abstract

The article describes the software product "Multifunctional Text Analyzer" (MTA), designed for informational decision support in assessing the quality of educational and scientific works. The main algorithm is based on the original method for semantic analysis of both the individual structural components of the educational and scientific texts, and the logical relationships at the substantive part of their sections. The main actions which expert performs during the process of automated analysis of the documents‘ substantive part are described. The software allows: to evaluate the references at the analyzed document, and quality of using references at the text of the document also; to search for information of interest to the expert contained in the document; to evaluate the quality of the document by analyzing the congruence of the texts to its sections. Keywords—training, assessment, semantic analysis, text mining