Construction Bid Data Analysis for Overseas Projects Based on Text Mining - Focusing on Overseas Construction Project's Bidder Inquiry

텍스트 마이닝을 통한 해외건설공사 입찰정보 분석 - 해외건설공사의 입찰자 질의(Bidder Inquiry) 정보를 대상으로 -

  • Lee, JeeHee (Department of Architectural Engineering, Ewha Womans University) ;
  • Yi, June-Seong (Department of Architectural Engineering, Ewha Womans University) ;
  • Son, JeongWook (Department of Architectural Engineering, Ewha Womans University)
  • Received : 2016.07.29
  • Accepted : 2016.08.03
  • Published : 2016.09.30


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.


Supported by : 한국연구재단


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