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Application of Natural Language Processing and Text Mining to Identify Patterns in Construction-Defect Litigation Cases

Author(s): ORCID (Ph.D. Student, School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332)
(Ph.D. Student, Construction Engineering and Management, Dept. of Civil Engineering, Univ. of Colorado Denver, 1200 Larimer, Denver, CO 80204.)
(Associate Professor, School of Building Construction and School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332.)
ORCID (Associate Professor, Construction Engineering and Management, Dept. of Civil Engineering, Univ. of Colorado Denver, 1200 Larimer, Denver, CO 80204 (corresponding author))
Medium: journal article
Language(s): English
Published in: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, , n. 4, v. 11
Page(s): 04519024
DOI: 10.1061/(asce)la.1943-4170.0000308
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)la.1943-4170.0000308.
  • About this
    data sheet
  • Reference-ID
    10579949
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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