Topic evolution analysis of radar research using a dynamic topic model based on latent Dirichlet allocation
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...
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| Published in | Journal of physics. Conference series Vol. 2010; no. 1; pp. 12105 - 12111 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
IOP Publishing
01.09.2021
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| Online Access | Get full text |
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| Summary: | 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. |
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| ISSN: | 1742-6588 1742-6596 |
| DOI: | 10.1088/1742-6596/2010/1/012105 |