Understanding On-Site Inspection of Construction Projects based on Keyword Extraction and Topic Modeling
Published in IEEE Access, 2020
This paper proposed a novel text mining approach to identify key concerns and their dynamics of on-site issues based on keyword extraction and topic modeling. With the proposed method, decision-makers could extract key concerns (i.e. categories of on-site issues) and their changes with time. Therefore, a more efficient on-site inspection and data-centric decision-making process is possible.
Recommended citation: Lin, J.R.*, Hu, Z.Z., Li, J.L., and Chen, L.M. (2020). "Understanding On-Site Inspection of Construction Projects based on Keyword Extraction and Topic Modeling" IEEE Access. 8: 198503-198517. doi: 10.1109/ACCESS.2020.3035214 http://doi.org/10.1109/ACCESS.2020.3035214