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http://dx.doi.org/10.6106/KJCEM.2020.21.2.015

Analysis on Research Trend of Productivity Using Text Mining - Focusing on KSCE Journal -  

Gu, Bongil (Housing & Building Division, Daewoo Engineering & Construction)
Huh, Youngki (Department of Architectural Engineering, Pusan National University)
Publication Information
Korean Journal of Construction Engineering and Management / v.21, no.2, 2020 , pp. 15-21 More about this Journal
Abstract
The relationship between keywords, found in all productivity related papers published in the KSCE journal for last 15 years, were analyzed in order to reveal a research trend in the area using text mining and A-Priori algorithm. As the results, it is found that the word of 'productivity' is most closely related to the words of 'work' and 'labor'. Futhermore, the word is somewhat related to those of 'factor', 'model', simulation', and 'work time'. It is also revealed that, on the other hand, the words of 'machine' and 'equipment' have little relationships with the keyword. This research will be a great help for academia to understand a research trend in the area of construction productivity.
Keywords
Text Mining; Big Data; Productivity; KSCE Journal;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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