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  1. Home
  2. USIM Journals
  3. Malaysian Journal of Syariah and Law (MJSL)
  4. BATTLING SHADOWS: ANALYSING THE TALIBAN-TTP NEXUS IN POST-2021 SECURITY DYNAMICS USING NATURAL LANGUAGE PROCESSING (NLP)
 
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BATTLING SHADOWS: ANALYSING THE TALIBAN-TTP NEXUS IN POST-2021 SECURITY DYNAMICS USING NATURAL LANGUAGE PROCESSING (NLP)

Journal
Malaysian Journal of Syariah and Law
ISSN
2590-4396
1985-7454
Date Issued
2025-08-31
Author(s)
Scott N. Romaniuk
Mostafa Amini
Anwar Ouassini
László Csicsmann
DOI
10.33102/mjsl.vol13no2.1050
Abstract
<jats:p>This study examines the evolving relationship between Tehrik-i-Taliban Pakistan (TTP) and the Afghan Taliban within the broader context of Pakistan’s counter-terrorism efforts and regional security environment following the United States (U.S.) withdrawal from Afghanistan in 2021. Adopting a mixed-methods approach, the research draws on a diverse corpus of news reports, official statements, and scholarly sources in English, Urdu, and Farsi. Our analysis focuses on the period post-September 1, 2021, using data from the Nexis Uni academic database. Employing Latent Dirichlet Allocation (LDA), the study analyses 2,889 articles to identify thematic patterns and discursive trends. A customised analytical framework categorises the findings into four key components: motivational, religious, ethno-racial, and administrative. By mapping these dimensions, the study offers insights into the factors shaping Pakistan’s strategic posture and decision-making. This research contributes to the growing body of literature on terrorism, counter-terrorism, and regional security in South and Central Asia, with a particular focus on the post-2021 dynamics between Pakistan, the Afghan Taliban, and the TTP.</jats:p>
Subjects

Afghanistan

counter-terrorism

Latent Dirichlet Allo...

pashtun

religious-ideological...

Taliban

Tehrik-i-Taliban Paki...

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Battling Shadows Analysing The Taliban-Ttp Nexus In Post-2021 Security Dynamics Using Natural Language Processing (Nlp).pdf

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