Automated Computer Linguistics Analysis of Scientific Texts in the Field of Female Terrorism Prevention for future Adaptive E-Learning

George Pashev; Veselina Tepavicharova

doi:https://doi.org/10.14445/22490183/IJETT-V70I5P233

Research Article | Open Access | Download PDF

Volume 70 | Issue 5 | Year 2022 | Article Id. IJETT-V70I5P233 | DOI : https://doi.org/10.14445/22490183/IJETT-V70I5P233

Automated Computer Linguistics Analysis of Scientific Texts in the Field of Female Terrorism Prevention for future Adaptive E-Learning

George Pashev , Veselina Tepavicharova

Received	Revised	Accepted	Published
12 Mar 2022	15 May 2022	19 May 2022	31 May 2022

Citation :

George Pashev , Veselina Tepavicharova, "Automated Computer Linguistics Analysis of Scientific Texts in the Field of Female Terrorism Prevention for future Adaptive E-Learning," International Journal of Engineering Trends and Technology (IJETT), vol. 70, no. 5, pp. 306-308, 2022. Crossref, https://doi.org/10.14445/22490183/IJETT-V70I5P233

Abstract

Terrorism countering is one of the key components of any country`s national security protection. The multilateral approach of the counter-terrorism strategy is an essential part of the terrorist attacks frequency reduction. Women`s involvement in terrorist organizations has long been unprecedented. This kind of dynamic can be traced to the Middle East and Russia. This article portrays an attempt to employ the usage of Adaptive E-learning to train future specialists in female terrorism prevention. The paper is a preliminary work related to automated topics, relations, entities, quotations extraction, text summary generation, etc.

Keywords

Adaptive E-learning, E-learning goals, Female terrorism prevention, Topics extraction, Sentiment analysis, Summary generation.

References

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