| Title |
Analysis on Research Trend of Productivity Using Text Mining - Focusing on KSCE Journal - |
| Authors |
Gu, Bongil ; Huh, Youngki |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2020.21.2.015 |
| Keywords |
Text Mining; Big Data; Productivity; KSCE 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. |