Journal
HELIYON
Volume 8, Issue 12, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.heliyon.2022.e12088
Keywords
Text mining; Construction industry; Systematic review; VOSviewer; Text mining applications
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Funding
- Ministry of Housing and Urban-Rural Development of the People's Republic of China
- [2022-R-022?]
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This study conducts a comprehensive review of text mining applications in the construction industry through surveying articles. It analyzes the prime application fields, key challenges, and future directions of text mining. This research helps the research community to understand the latest developments in text mining applications in the construction industry and identifies future research directions.
The data generation in the construction industry has increased dramatically. The major portion of the data in the architecture, engineering and construction (AEC) domain are unstructured textual documents. Text mining (TM) has been introduced to the construction industry to extract underlying knowledge from unstructured data. However, few articles have comprehensively reviewed applications of TM in the AEC domain. Thus, this study adopts a qualitative-quantitative method to conduct a state-of-the-art survey on the articles related to applications of TM in the construction industry which published between the year of 2000 and 2021. VOSviewer software was applied to provide an overview of TM applications regarding to the publication trend, active countries and re-gions, productive authors, and co-occurrence of keywords perspectives. Eight prime application fields of TM were discussed and analyzed in detail. Five key challenges and three future directions have been proposed. This review can help the research community to grasp the state-of-the-art of TM applications in the construction industry and identify the directions of further research.
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