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    Text Mining of the Securities and Exchange Commission Financial Filings of Publicly Traded Construction Firms Using Deep Learning to Identify and Assess Risk 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 012
    Author(s): Yashovardhan Jallan; Baabak Ashuri
    Publisher: ASCE
    Abstract: Risk factor identification is a critical topic in the construction industry. It is vital for the various construction firms and industry stakeholders to understand the different types of risks that affect their businesses ...
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    Application of Natural Language Processing and Text Mining to Identify Patterns in Construction-Defect Litigation Cases 

    Source: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2019:;Volume ( 011 ):;issue: 004
    Author(s): Yashovardhan Jallan; Elizabeth Brogan; Baabak Ashuri; Caroline M. Clevenger
    Publisher: American Society of Civil Engineers
    Abstract: Recently, construction-defect litigation has upsurged across the United States. Disputes arise due to a variety of reasons, and result in a range of negative impacts on construction projects, such as increased cost, delay, ...
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