Comparing natural language processing (NLP) applications in construction and computer science using preferred reporting items for systematic reviews (PRISMA)

S Chung, S Moon, J Kim, J Kim, S Lim, S Chi - Automation in Construction, 2023 - Elsevier
Despite the increasing use of natural language processing (NLP) in the construction
domain, no systematic comparison has been conducted between NLP applications in …

Long-term impacts of COVID-19 pandemic on travel behaviour

B Aaditya, TM Rahul - Travel Behaviour and Society, 2023 - Elsevier
The need to understand the influence of the COVID-19 pandemic on the long-term travel
behaviour of people has never been higher as a consequence of the second wave of …

How has airport service quality changed in the context of COVID-19: A data-driven crowdsourcing approach based on sentiment analysis

L Li, Y Mao, Y Wang, Z Ma - Journal of Air Transport Management, 2022 - Elsevier
Airport service quality (ASQ) is a competitive advantage for airport management in today's
airport market. Since the COVID-19 health crisis has unprecedentedly influenced airport …

Factors influencing long-term city park visitations for mid-sized US cities: A big data study using smartphone user mobility

Y Song, G Newman, X Huang, X Ye - Sustainable Cities and Society, 2022 - Elsevier
City parks provide essential services for the physical activities and the health improvement
of residents. Most related literature focuses on the factors affecting park visitations in large …

[HTML][HTML] Are mega-events super spreaders of infectious diseases similar to COVID-19? A look into Tokyo 2020 Olympics and Paralympics to improve preparedness of …

T Chowdhury, H Chowdhury, E Bontempi… - … Science and Pollution …, 2023 - Springer
Abstract Tokyo Summer Olympics and Paralympics have raised social issues regarding the
potential rise in COVID-19 cases in Japan and risks associated with the safe organization of …

Sequential data-driven carbon peaking path simulation research of the Yangtze River Delta urban agglomeration based on semantic mining and heuristic algorithm …

Q Zeng, C Shi, W Zhu, J Zhi, X Na - Energy, 2023 - Elsevier
In this paper, 41 prefecture level cities in the Yangtze River Delta (YRD) are selected as the
research objects. Based on the semantic mining model, the policy data information from …

[HTML][HTML] How to achieve passenger satisfaction in the airport? Findings from regression analysis and necessary condition analysis approaches through online airport …

M Bakır, Ş Akan, E Özdemir, PH Nguyen, JF Tsai… - Sustainability, 2022 - mdpi.com
Delivering high-quality service to passengers can be critical for an airport's survival,
competitiveness, profitability, and long-term growth in a highly competitive environment. The …

Effects of China's carbon generalized system of preferences on low-carbon action: A synthetic control analysis based on text mining

F Chen, Q Chen, J Hou, S Li - Energy Economics, 2023 - Elsevier
Measuring the effects of China's Carbon Generalized System of Preferences (CGSP) on low-
carbon action from front-end perspectives, such as residents' willingness, is intuitive and …

Clusterllm: Large language models as a guide for text clustering

Y Zhang, Z Wang, J Shang - arXiv preprint arXiv:2305.14871, 2023 - arxiv.org
We introduce ClusterLLM, a novel text clustering framework that leverages feedback from an
instruction-tuned large language model, such as ChatGPT. Compared with traditional …

[HTML][HTML] Learning building occupants' indoor environmental quality complaints and dissatisfaction from text-mining Booking. com reviews in the United States

N Ma, Q Zhang, F Murai, WW Braham… - Building and …, 2023 - Elsevier
Traditional post occupancy evaluation (POE) poses a challenge to the comprehensive
knowledge of occupant dissatisfaction with indoor environmental quality (IEQ) due to the …