Maritime piracy and armed robbery analysis in the Straits of Malacca and Singapore through the utilization of natural language processing DOI
Muhammad I. Fahreza, Enna Hirata

Maritime Policy & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Nov. 16, 2024

Piracy and armed robbery have become serious problems in maritime economic activities, particularly the Straits of Malacca Singapore. These crimes occur due to various influential factors, necessitating analysis through incident reports. This study aims identify factors influencing piracy these areas using natural language processing (NLP) technologies. Data were obtained from reports compiled by relevant organizations such as Global Integrated Shipping Information System (GISIS) International Maritime Organization (IMO) Annual Reports on Armed Robbery Regional Cooperation Agreement Combating against Ships Asia (ReCAAP). data reconstructed NLP further analyzed Bidirectional Encoder Representations Transformer (BERT) model derivative, BERTopic. Several topics analysis, suggesting key outcome incidents. will serve basis for suggestions solution provisions that can be effectively applied utilized decrease frequency success rate future. The findings provide crucial insights developing strategies mitigate impact criminal activities activities.

Language: Английский

Hotspot analysis of global piracy and armed robbery incidents at sea: A decadal review of regional vulnerabilities and security strategies DOI

Neslihan Küçük,

Serdar Yıldız, Özkan Uğurlu

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 260, P. 107480 - 107480

Published: Nov. 20, 2024

Language: Английский

Citations

2
Piracy at sea is waning — but hotspots remain DOI

Freda Kreier

Nature, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 17, 2024

Language: Английский

Citations

0
Maritime piracy and armed robbery analysis in the Straits of Malacca and Singapore through the utilization of natural language processing DOI
Muhammad I. Fahreza, Enna Hirata

Maritime Policy & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Nov. 16, 2024

Piracy and armed robbery have become serious problems in maritime economic activities, particularly the Straits of Malacca Singapore. These crimes occur due to various influential factors, necessitating analysis through incident reports. This study aims identify factors influencing piracy these areas using natural language processing (NLP) technologies. Data were obtained from reports compiled by relevant organizations such as Global Integrated Shipping Information System (GISIS) International Maritime Organization (IMO) Annual Reports on Armed Robbery Regional Cooperation Agreement Combating against Ships Asia (ReCAAP). data reconstructed NLP further analyzed Bidirectional Encoder Representations Transformer (BERT) model derivative, BERTopic. Several topics analysis, suggesting key outcome incidents. will serve basis for suggestions solution provisions that can be effectively applied utilized decrease frequency success rate future. The findings provide crucial insights developing strategies mitigate impact criminal activities activities.

Language: Английский

Citations

0