Indexing of Social Network Texts for Psychometric Model of Academic Success Prediction

DOI

10.2991/assehr.k.200509.143How to use a DOI?

Keywords

natural language processing, text indexing, data analysis, social networks, psychometry

Abstract

The paper presents the technical description of a software package for extracting and processing of text content from social networks for the purpose of their use in developing of an academic success psychometric model. This model is based on a selected set of cognitive behavioral predictors of personal activity in the context of education. Source textual data consists of posts from the Vkontakte profile pages of students of Kazan Federal University. As the main method of data processing, text indexing and word frequency characteristics analysis for academically “successfull” and “not-successful” students. The intermediate results of the developed text indices analysis are also presented.

Copyright

© 2020, 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  - N.A. Prokopyev
AU  - G.Z. Vakhitov
AU  - P.N. Ustin
PY  - 2020
DA  - 2020/05/13
TI  - Indexing of Social Network Texts for Psychometric Model of Academic Success Prediction
BT  - Proceedings of the International Scientific Conference “Digitalization of Education: History, Trends and Prospects” (DETP 2020)
PB  - Atlantis Press
SP  - 807
EP  - 812
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200509.143
DO  - 10.2991/assehr.k.200509.143
ID  - Prokopyev2020
ER  -