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
崔丹 1李赫 2陈鹏3
作者信息
- 1. 哈尔滨工程大学国际合作教育学院,黑龙江哈尔滨 150001
- 2. 哈尔滨工程大学外国语学院,黑龙江哈尔滨 150001
- 3. 中国船舶集团有限公司第七一四研究所,北京 100101
- 折叠
摘要
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.
Abstract
This study utilized the Science Citation Index to retrieve 1 108 international publications closely related to the topic of"submarine sonar"as its data source.By employing Latent Dirichlet Allocation(LDA)topic modeling tech-niques,six core themes were precisely identified:sonar technology and applications,sonar and robotics,sonar detection sys-tems 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 develop-mental trajectory of the field by thoroughly analyzing the current research focus and trends in international literature.This ef-fort not only helps Chinese researchers accurately pinpoint future research directions but also actively promotes the advance-ment of China's submarine sonar technology and the development of its maritime power strategy.
关键词
水下声呐/LDA/主题建模/主题挖掘Key words
submarine sonar/LDA/topic modeling/text analysis引用本文复制引用
基金项目
黑龙江省本科高校外语教育改革创新项目(HWX202202-B)
出版年
2024
NETL
NSTL
万方数据