| Title |
Construction Bid Data Analysis for Overseas Projects Based on Text Mining - Focusing on Overseas Construction Project's Bidder Inquiry |
| Authors |
Lee, JeeHee ; Yi, June-Seong ; Son, JeongWook |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2016.17.5.089 |
| Keywords |
Text Mining ; Unstructured Text Data ; Bidder Inquiry |
| Abstract |
Most data generated in construction projects is unstructured text data. Unstructured data analysis is very needed in order for effective analysis on large amounts of text-based documents, such as contracts, specifications, and RFI. This study analysed previously performed project’s bid related documents (bidder inquiry) in overseas construction projects; as a results of the analysis frequent words in documents, association rules among the words, and various document topics were derived. This study suggests effective text analysis approach for massive documents with short time using text mining technique, and this approach is expected to extend the unstructured text data analysis in construction industry. |