Automated Priority Assignment of Building Maintenance Tasks Using Natural Language Processing and Machine Learning

Author:

D’Orazio Marco1ORCID,Bernardini Gabriele1ORCID,Di Giuseppe Elisa2ORCID

Affiliation:

1. Dept. of Construction, Civil Engineering and Architecture, Univ. Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy. ORCID: .

2. Dept. of Construction, Civil Engineering and Architecture, Univ. Politecnica delle Marche, Via Brecce Bianche 12, 60131 Ancona, Italy (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Visual Arts and Performing Arts,Building and Construction,Civil and Structural Engineering,Architecture

Reference67 articles.

1. Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature;Abdelrahman M. M.;Energy Build.,2021

2. Adhikari S. D. S. Hoffman and B. Lietke. 2019. “Six emerging trends in facilities management sourcing.” Accessed June 15 2023. https://www.mckinsey.com/capabilities/operations/our-insights/six-emerging-trends-in-facilities-management-sourcing#/.

3. Using a data driven neural network approach to forecast building occupant complaints;Assaf S.;Build. Environ.,2021

4. A critical review of text-based research in construction: Data source, analysis method, and implications;Baek S.;Autom. Constr.,2021

5. Representation Learning: A Review and New Perspectives

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