The development of artificial intelligence technology is currently bringing about new
opportunities in construction. Machine learning is a major area of interest within the field of …

Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …

In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

Text mining (TM) and natural language processing (NLP) have stirred interest within the
construction field, as they offer enhanced capabilities for managing and analyzing text …

This study delves into investigating the leading factors of occurring 23,057 fall accidents in
the United States construction industry over 20 years (1/2000–8/2020) recorded in the …

Learning from past accidents is pivotal for improving safety in construction. However, hazard
records are typically documented and stored as unstructured or semi-structured free-text …

Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …

Abstract Machine learning (ML) and deep learning (DL) are both branches of AI. As a form of
AI, ML automatically adapts to changing datasets with minimal human interference. Deep …