Topic evolution analysis of radar research using a dynamic topic model based on latent Dirichlet allocation

Author:

Huang Xiaoguang,Fang Hui

Abstract

Abstract This work applies a dynamic topic model based on latent Dirichlet allocation to investigate the evolution of radar research and applications. To address the problem that processing a large number of papers exceeds the capacity of computers, we propose a method to sample documents according to their citation count. Of 104,428 sampled articles, 108 research topics are extracted. The evolution of topics is analysed from two dimensions: content and strength. The results show that radar technology, which arose mainly from physics and engineering science, has been widely applied in studies in the civil engineering, geographical, environmental, meteorological, geological, agricultural, ecological, among others. In the long-term development of radar, new technologies have continuously been produced. At the individual topic level, the research content has changed over time. The development objectives of radar systems are to enhance functionality, extract more information and improve clarity.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference11 articles.

1. Detecting topic evolution in scientific literature: how can citations help?;He,2009

2. Latent Dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

3. Dirichlet mixture allocation for multiclass document collections modeling;Bian,2009

4. Road traffic topic modeling on Twitter using latent Dirichlet allocation;Hidayatullah,2017

5. Sentiment analysis using latent Dirichlet allocation and topic polarity wordcloud visualization;Bashri,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Semantic Shifts of the Topical Structure in the Corpus of Lentach News Posts;Communications in Computer and Information Science;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3