Korean Journal of Construction Engineering and Management (한국건설관리학회논문집)

Korea Institute of Construction Engineering and Management (한국건설관리학회)
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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
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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.

건설 프로젝트에서 생산되는 대부분의 데이터는 텍스트 기반의 비정형 데이터이다. 계약서, 시방서, RFi 등 수많은 텍스트 문서들을 효과적으로 분석하기 위해서는 텍스트 마이닝과 같은 비정형 텍스트 데이터 분석 방법이 필요하다. 이에 본 연구에서는 과거에 수행되었던 해외건설공사 프로젝트의 입찰 관련 문서들을 대상으로 텍스트 마이닝을 실시하였으며, 그 결과 빈출단어의 유형, 단어들 간의 연관관계, 문서들의 토픽 유형들에 대한 파악이 가능하였다. 본 연구는 텍스트 마이닝을 활용한 해외건설공사 입찰 정보 분석을 통해 비정형 텍스트 데이터를 효과적으로 분석할 수 있는 방안을 제시하였다는 점에서 의의가 있으며, 향후 관련 분야 연구를 확장시킬 수 있는 기반을 마련할 수 있을 것이라 기대한다.

Keywords

References

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