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Natural language processing for smart construction: Current status and future directions

  • Published:2022-02 Issue: Volume:134 Page:104059
  • ISSN:0926-5805
  • Container-title:Automation in Construction
  • language:en
  • Short-container-title:Automation in Construction

Author:

Wu Chengke,Li Xiao,Guo Yuanjun,Wang Jun,Ren Zengle,Wang Meng,Yang Zhile

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference137 articles.

1. Data mining in the construction industry: present status, opportunities, and future trends;Yan;Autom. Constr.,2020

2. Ontological knowledge base for concrete bridge rehabilitation project management;Wu;Autom. Constr.,2021

3. Analysis and evaluation of unstructured data: text mining versus natural language processing;Gharehchopogh,2011

4. Machine learning algorithms-a review;Mahesh;Int. J. Sci. Res.,2020

5. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities;Darko;Autom. Constr.,2020

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1. Competitive Landscape Analysis of International Construction Industry Using Natural Language Processing;Journal of Management in Engineering;2024-05

2. Supporting circularity in construction with performance-based deconstruction;Sustainable Production and Consumption;2024-03

3. Text mining and natural language processing in construction;Automation in Construction;2024-02

4. Navigating PPP Renegotiations in the Wake of COVID-19: Insights from a Toll Road Program;Journal of Legal Affairs and Dispute Resolution in Engineering and Construction;2024-02

5. Digital twin for intelligent tunnel construction;Automation in Construction;2024-02
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