Developing a Sentiment Lexicon-Based Quality Performance Evaluation Model on Construction Projects in Korea
محفوظ في:
| الحاوية / القاعدة: | Buildings vol. 15, no. 16 (2025), p. 2817-2839 |
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| المؤلف الرئيسي: | |
| مؤلفون آخرون: | , , |
| منشور في: |
MDPI AG
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| الوسوم: |
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MARC
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| 003 | UK-CbPIL | ||
| 022 | |a 2075-5309 | ||
| 024 | 7 | |a 10.3390/buildings15162817 |2 doi | |
| 035 | |a 3243994044 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231437 |2 nlm | ||
| 100 | 1 | |a Lee, Kiseok |u Overseas Investment Development POG, SHIN and KIM LCC, Seoul 03155, Republic of Korea; ks8952@nate.com | |
| 245 | 1 | |a Developing a Sentiment Lexicon-Based Quality Performance Evaluation Model on Construction Projects in Korea | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The increasing frequency of structural failures on construction sites emphasizes the critical role of rigorous supervision in ensuring the quality of both construction processes and materials. Current regulatory frameworks mandate the production of detailed supervision reports to provide comprehensive evaluations of construction quality, material compliance, and site records. This study proposes a novel approach to harnessing unstructured reports for automated quality assessment. Employing text mining techniques, a sentiment lexicon specifically tailored for quality performance evaluation was developed. A corpus-based manual classification was conducted on 291 relevant words and 432 sentences extracted from the supervision reports, assigning sentiment labels of negative, neutral, and positive. This sentiment lexicon was then utilized as fundamental information for the Quality Performance Evaluation Model (QPEM). To validate the efficacy of the QPEM, it was applied to supervision reports from 30 construction sites adhering to legal standards. Furthermore, a Pearson correlation analysis was performed with the actual outcomes based on the legal requirements, including quality test failure rate, material inspection failure rate, and inspection management performance. By leveraging the wealth of unstructured data continuously generated throughout a project’s lifecycle, this model can enhance the timeliness of inspection and management processes, ultimately contributing to improved construction performance. | |
| 653 | |a Performance evaluation | ||
| 653 | |a Inspection | ||
| 653 | |a Documentation | ||
| 653 | |a Structural equation modeling | ||
| 653 | |a Language | ||
| 653 | |a Correlation analysis | ||
| 653 | |a Failure rates | ||
| 653 | |a Quality control | ||
| 653 | |a Data mining | ||
| 653 | |a Project engineering | ||
| 653 | |a Business metrics | ||
| 653 | |a Structural failure | ||
| 653 | |a Construction industry | ||
| 653 | |a Quality assessment | ||
| 653 | |a Quality standards | ||
| 653 | |a Construction sites | ||
| 653 | |a Quality management | ||
| 653 | |a Supervision | ||
| 653 | |a Conformity | ||
| 653 | |a Information processing | ||
| 653 | |a Unstructured data | ||
| 653 | |a Performance management | ||
| 700 | 1 | |a Song Taegeun |u New Growth Procurement Research Center, Korea Institute of Procurement, Seoul 06226, Republic of Korea; song8444@kip.re.kr | |
| 700 | 1 | |a Shin Yoonseok |u Department of Architectural Engineering, Kyonggi University, Kyonggi-do 16227, Republic of Korea; shinys@kyonggi.ac.kr | |
| 700 | 1 | |a Yoo Wi Sung |u Department of Construction Economics & Finance Research, Construction & Economy Research Institute of Korea, Seoul 06050, Republic of Korea | |
| 773 | 0 | |t Buildings |g vol. 15, no. 16 (2025), p. 2817-2839 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3243994044/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3243994044/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3243994044/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |