基于LDA模型的国外潜艇声呐研究主题分析

Foreign submarine sonar research topic analysis based on LDA model

本文基于科学引文索引,检索了1108篇与“潜艇声呐”主题紧密相关的国外文献作为数据源。采用LDA主题建模技术,精确识别了六大核心主题:声呐技术与应用、声呐与机器人技术、声呐探测系统与应用、水下通信与导航、反潜作战领域的声呐技术、声呐与人工智能。基于这些主题,对原始数据进行了系统性的分类汇总与深入分析。本研究旨在通过深度剖析当前国外文献的研究焦点与趋势,为相关领域的研究者提供快速掌握领域发展脉络的途径。此举不仅有助于我国研究人员精准定位未来研究方向,更将积极促进我国潜艇声呐技术的进步与海洋强国战略的发展。

This study utilized the Science Citation Index to retrieve 1108 international publications closely related to the topic of“submarine sonar”as its data source.By employing Latent Dirichlet Allocation(LDA)topic modeling techniques,six core themes were precisely identified:sonar technology and applications,sonar and robotics,sonar detection systems and applications,underwater communication and navigation,sonar technology in anti-submarine warfare,and sonar and artificial intelligence.Based on these themes,we conducted a systematic classification,summarization,and in-depth analysis of the original data.This research aims to provide researchers in related fields with a means to quickly grasp the developmental trajectory of the field by thoroughly analyzing the current research focus and trends in international literature.This effort not only helps Chinese researchers accurately pinpoint future research directions but also actively promotes the advancement of China's submarine sonar technology and the development of its maritime power strategy.