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

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2022 by IJETT Journal
Volume-70 Issue-5
Year of Publication : 2022
Authors : George Pashev , Veselina Tepavicharova
DOI :  10.14445/22315381/IJETT-V70I5P233

Citation 

MLA Style: George Pashev and 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, May. 2022, pp. 306-308. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I5P233

APA Style:George Pashev & Veselina Tepavicharova. (2022). 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, 70(5), 306-308. 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
[1] Laktionova, M. A., Features of the Phenomenon of Female Terrorism: A Regional Aspect. Bulletin of the Adyghe State University. Series 1: Regional Studies: Philosophy, History, Sociology, Jurisprudence, Political Science, Cultural Studies, 4 (148) 108-116.
[2] Adamova, M. A., Female Terrorism in the Modern Political Process (Doctoral Dissertation, Pyatigorsk). (2007).
[3] Kim, I. W., Gender Inequality in Islam: Women`s Terrorism. Analytics of Cultural Studies, (6) (2006) 132-137.
[4] Pashev, G., Totkov, G., Kostadinova, H., & Indzhov, H., Personalized Educational Paths Through Self-Modifying Learning Objects. Proceedings of the 17th International Conference on Computer Systems And Technologies, (2016) 437-444.
[5] Pashev, G., Rusenova, L., Totkov, G., & Gaftandzhieva, S., Adaptive Workplace E-Learning Model. TEM Journal, 9(2) (2020) 613.
[6] PASHEV, GP., Dynamic Generation and Optimal Control of Flows of Activities and Resources for Electronic Learning, Ph.D. Thesis, Plovdiv University ,Paisiy Hilendarski, Plovdiv, Bulgaria, (2014).
[7] Pilgrim, M., & Willison, S ., Dive Into Python , New York, NY, USA: Apress, 2 (2009).
[8] Sharma, S. K., & Hoque, Sentiment Predictions Using Support Vector Machines for Odd-Even Formula in Delhi. International Journal of Intelligent Systems and Applications, 9(7) (2017) 61.