论文标题
分析derentwicklungstreiberMilitärischerschwarmdrohnen durch自然语言处理
Analyse der Entwicklungstreiber militärischer Schwarmdrohnen durch Natural Language Processing
论文作者
论文摘要
军用无人机在武装冲突中越来越重要，在群中使用多个无人机可能是有用的。该研究的驱动因素是谁，并在本研究中使用基于946个研究的NLP技术在这项研究中分析了哪些子域。大多数研究是在美国，英国和德国领导的西方世界进行的。通过TF-IDF评分，可以表明国家在所研究的子域中存在显着差异。总体而言，2019年和2020年发表了最多的作品，早在2008年就对军事群的无人机产生了浓厚的兴趣。这项研究可首先了解该领域的研究，并促使进一步调查。
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.
