IJBTT

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

Automated Computer Linguistics Analysis of Scientific Texts in the Field of Female Terrorism Prevention for future Adaptive E-Learning
	© 2022 by IJETT Journal
	Volume-70 Issue-5
	Year of Publication : 2022
	Authors : George Pashev , Veselina Tepavicharova
	DOI :  10.14445/22315381/IJETT-V70I5P233

How to Cite?

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, vol. 70, no. 5, pp. 306-308, 2022. Crossref, https://doi.org/10.14445/22315381/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.

Reference
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