Journal
AUTOMATION IN CONSTRUCTION
Volume 111, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.autcon.2019.103048
Keywords
Construction document management; Text visualization; Information extraction; Text mining
Funding
- National Natural Science Foundation of China [51878311, 71732001, 51978302]
Ask authors/readers for more resources
In this study, text mining and visualization technology is applied to extract valuable information otherwise buried in the dense and abstract form of construction report text and process it into simple and intuitive graphics. This framework allows managers to quickly understand and make more informed decisions based upon key information. To extract such key information from a text automatically, the Term Frequency Inverse Document Frequency algorithm was optimized to the characteristics of engineering texts. The key messages extracted from a case study construction report text in the form of keywords/terms were then visualized using a tag cloud algorithm. Questionnaires completed by construction managers then demonstrated that the proposed information visualization framework can facilitate rapid and informative access to key project information. This framework can thus reduce the workload and time required for construction managers to ascertain and act upon the status of their projects.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available