ENHANCING RFI ANALYSIS IN CONSTRUCTION PROJECTS: A COMPARATIVE STUDY OF TEXT CLUSTERING METHODS AND VISUALIZATION TECHNIQUES

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

The Request for Information (RFI) is a vital communication tool in construction projects, aiding teams in addressing queries and navigating challenges. Unstructured RFIs hinder manual analysis for extracting hidden knowledge. Prior research in RFI analysis employed NLP and text clustering and often relied on a single clustering method. This paper performs a comparative analysis using diverse clustering methods (LDA, NMF, and K-means) and visualization techniques to determine the most suitable methods. The study offers project managers and quality engineers an effective tool for extracting hidden knowledge in RFI.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıProceedings of the 2024 European Conference on Computing in Construction
EditörlerMarijana Srećković, Mohamad Kassem, Ranjith Soman, Athanasios Chassiakos
YayınlayanEuropean Council on Computing in Construction (EC3)
Sayfalar144-151
Sayfa sayısı8
ISBN (Basılı)9789083451305
DOI'lar
Yayın durumuYayınlandı - 2024
EtkinlikEuropean Conference on Computing in Construction, EC3 2024 - Chania, Greece
Süre: 14 Tem 202417 Tem 2024

Yayın serisi

AdıProceedings of the European Conference on Computing in Construction
Hacim2024
ISSN (Elektronik)2684-1150

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???event.eventtypes.event.conference???European Conference on Computing in Construction, EC3 2024
Ülke/BölgeGreece
ŞehirChania
Periyot14/07/2417/07/24

Bibliyografik not

Publisher Copyright:
© 2024 European Council on Computing in Construction.

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