Maritime Policy & Management, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Ноя. 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.

Язык: Английский