Text mining and natural language processing in construction

A Shamshiri, KR Ryu, JY Park - Automation in Construction, 2024‏ - Elsevier
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 …

Natural language processing for smart construction: Current status and future directions

C Wu, X Li, Y Guo, J Wang, Z Ren, M Wang… - Automation in …, 2022‏ - Elsevier
Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …

Applications of natural language processing in construction

Y Ding, J Ma, X Luo - Automation in Construction, 2022‏ - Elsevier
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 …

Research trends in text mining: Semantic network and main path analysis of selected journals

H Jung, BG Lee - Expert Systems with Applications, 2020‏ - Elsevier
In this study, network and main path analyses were conducted on 1856 studies related to
text mining, by extracting keywords and citation information from the text of each paper. Our …

The impact of contractors' attributes on construction project success: A post construction evaluation

JI Alzahrani, MW Emsley - International journal of project management, 2013‏ - Elsevier
The success of construction projects is a fundamental issue for most governments, users
and communities. In the literature that deals with construction project success and causes of …

A critical review of text-based research in construction: Data source, analysis method, and implications

S Baek, W Jung, SH Han - Automation in Construction, 2021‏ - Elsevier
The advancement of natural language processing and text mining techniques facilitate
automatic non-trivial pattern extraction and knowledge discovery from text data. However …

Progress in the production of hydrogen energy from food waste: A bibliometric analysis

A Sridhar, M Ponnuchamy, PS Kumar, A Kapoor… - International Journal of …, 2022‏ - Elsevier
The exponential increase in food waste generation has prompted the scientific community to
convert it into value-added resources. Hydrogen energy provides a sustainable option to …

Textual data mining for industrial knowledge management and text classification: A business oriented approach

N Ur-Rahman, JA Harding - Expert Systems with Applications, 2012‏ - Elsevier
Textual databases are useful sources of information and knowledge and if these are well
utilised then issues related to future project management and product or service quality …

SkillNER: Mining and map** soft skills from any text

S Fareri, N Melluso, F Chiarello, G Fantoni - Expert Systems with …, 2021‏ - Elsevier
In today's digital world, there is an increasing focus on soft skills. On the one hand, they
facilitate innovation at companies, but on the other, they are unlikely to be automated soon …

A decision support system based on ontology and data mining to improve design using warranty data

M Alkahtani, A Choudhary, A De, JA Harding - Computers & industrial …, 2019‏ - Elsevier
Abstract Analysis of warranty based big data has gained considerable attention due to its
potential for improving the quality of products whilst minimizing warranty costs. Similarly …