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基于LDA模型的国外潜艇声呐研究主题分析

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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.
Foreign submarine sonar research topic analysis based on LDA model
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.

submarine sonarLDAtopic modelingtext analysis

崔丹、李赫、陈鹏

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哈尔滨工程大学国际合作教育学院,黑龙江哈尔滨 150001

哈尔滨工程大学外国语学院,黑龙江哈尔滨 150001

中国船舶集团有限公司第七一四研究所,北京 100101

水下声呐 LDA 主题建模 主题挖掘

黑龙江省本科高校外语教育改革创新项目

HWX202202-B

2024

舰船科学技术
中国舰船研究院,中国船舶信息中心

舰船科学技术

CSTPCD北大核心
影响因子:0.373
ISSN:1672-7649
年,卷(期):2024.46(18)