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http://dx.doi.org/10.30693/SMJ.2021.10.4.102

Topic modeling and topic change trend analysis for advanced construction technologies  

Jeong, Seong Yun (한국건설기술연구원 미래스마트건설연구본부)
Kim, Nam Gon (한국건설기술연구원 미래스마트건설연구본부)
Publication Information
Smart Media Journal / v.10, no.4, 2021 , pp. 102-110 More about this Journal
Abstract
Currently, the advanced construction technology endorsement system is being operated to promote the development of domestic construction technology. We tried to examine the implicit meanings inherent in advanced construction technologies by analyzing the relationship between emerging vocabularies with high importance in relation to the advanced construction technologies endorsed through this system. For this purpose, 918 cases of advanced construction technology information were collected. Based on the endorsed year and summary of the advanced construction technologies, the importance of the emerging vocabularies was measured for each advanced construction technology. And, based on the LDA model, the degree of influence between related vocabularies was evaluated for each of the four topic areas. Topics according to the technical application fields were analyzed. From 1990 to 2021, the trend of changes in highly influential vocabularies by each topic was inferred. In the future, changes in the degree of influence of the topics of environment, machinery, facilities, and maintenance and reinforcement of structures and related technology fields were predicted.
Keywords
Advanced Construction Technology; Text Mining; Topic Modeling; Keyword Network;
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