Analyse der Entwicklungstreiber militärischer Schwarmdrohnen durch Natural Language Processing
This provides a first overview of research trends in military swarm drones, but it is incremental as it applies existing NLP methods to a new dataset without advancing the field methodologically.
The study analyzed 946 research papers to identify the drivers and sub-domains of military swarm drone development using NLP techniques, finding that most research is led by the U.S., U.K., and Germany with peak publications in 2019-2020.
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.