基于自然语言处理的军事情报分析
Analyse der Entwicklungstreiber militärischer Schwarmdrohnen durch Natural Language Processing
摘要：
军用无人机在武装冲突中发挥着越来越重要的作用，在一群人中使用多架无人机可能是有用的。本研究基于946项研究，使用NLP技术分析和可视化呈现了研究的驱动因素以及存在的子领域。大多数研究是在西方世界进行的，以美国、英国和德国为首。通过Tf-idf评分，表明各国在所研究的子领域上存在显著差异。总体而言，2019年和2020年发表的作品最多，早在2008年就对军用蜂群无人机产生了浓厚的兴趣。这项研究提供了第一个一瞥在这一领域的研究，并提示进一步的调查。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
