Analyse der Entwicklungstreiber milit\"arischer Schwarmdrohnen durch Natural Language Processing

• URL: http://arxiv.org/abs/2211.09680v1
• Date: Tue, 15 Nov 2022 20:22:33 GMT
• Title: Analyse der Entwicklungstreiber milit\"arischer Schwarmdrohnen durch Natural Language Processing
• Authors: Manuel Mundt
• Abstract summary: Military drones are taking an increasingly prominent role in armed conflict, and the use of multiple drones in a swarm can be useful. Who the drivers of the research are and what sub-domains exist is analyzed and visually presented in this research using NLP techniques based on 946 studies. Overall, 2019 and 2020 saw the most works published, with significant interest in military swarm drones as early as 2008.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Military drones are taking an increasingly prominent role in armed conflict, and the use of multiple drones in a swarm can be useful. Who the drivers of the research are and what sub-domains exist is analyzed and visually presented in this research using NLP techniques based on 946 studies. Most research is conducted in the Western world, led by the United States, the United Kingdom, and Germany. Through Tf-idf scoring, it is shown that countries have significant differences in the subdomains studied. Overall, 2019 and 2020 saw the most works published, with significant interest in military swarm drones as early as 2008. This study provides a first glimpse into research in this area and prompts further investigation.

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