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

DOI

10.2991/itids-19.2019.15How to use a DOI?

Keywords

training, assessment, semantic analysis, text mining

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Natalia Minasova
AU  - Sergey Tarkhov
AU  - Liaylia Tarkhova
PY  - 2019/05
DA  - 2019/05
TI  - Decision Support in Assessing the Quality of Students' Educational and Scientific Work Based on Automated Text Analysis of the Document
BT  - Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019)
PB  - Atlantis Press
SP  - 77
EP  - 82
SN  - 1951-6851
UR  - https://doi.org/10.2991/itids-19.2019.15
DO  - 10.2991/itids-19.2019.15
ID  - Minasova2019/05
ER  -