Unveiling Technological Innovation in Construction Waste Recycling: Insights from Text Mining DOI Creative Commons
Mengqi Yuan, Sijin Chen,

Mai Liu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(9), P. 1544 - 1544

Published: May 3, 2025

Dealing with solid waste has always been a global concern, and construction is one of the most important parts. Addressing how to properly dispose waste, reduce its negative environmental impact, achieve effective resource recycling emerged as an urgent problem be solved. Technological innovation underpins efficient reduction, reuse, recycling, but existing research often overlooks systematic quantitative measurements initiatives. This study uncovers development status trends (CWR) technology, identifies key points potential directions for technological development, also explores practical strategies promote industrial growth. Through patent analysis, this current within China’s CWR industry. A text mining approach employed analyze texts related core technologies, explore topic contents, identify intensities evolution trends. comparative analysis between China dominant countries in reveals strengths weaknesses. The results indicate that applications industry are substantial, rapid growth rate, while competitiveness remains weak. applicants widely distributed, traditional enterprises demonstrating strong capabilities, emerging small-to-medium lack vitality. advantages developing devices wastewater treatment foundation some other technologies offers overview initiatives industry, representing breakthrough research. findings will assist policymakers formulating evidence-driven CWR.

Language: Английский

Macro-level insights into the digital economy: topic identification and trend analysis DOI
Xiaorong He,

Zhao Hong-yu

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: April 8, 2025

Language: Английский

Citations

0
Research on Anti-Fraud Prediction of Auto Insurance Based on Ensemble Learning DOI

全爱 蔚

Advances in Applied Mathematics, Journal Year: 2025, Volume and Issue: 14(04), P. 688 - 700

Published: Jan. 1, 2025

Language: Английский

Citations

0
Site Selection of Medium-Deep Geothermal Resource Projects Based on Intuitionistic Fuzzy Environment and MABAC Method DOI
Jianwei Gao, Yanhui He, Ningbo Huang

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123253 - 123253

Published: April 1, 2025

Language: Английский

Citations

0
Leveraging Text Mining Techniques for Civil Aviation Service Improvement: Research on Key Topics and Association Rules of Passenger Complaints DOI Creative Commons
Huali Cai,

Dong Tao,

Pengpeng Zhou

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(5), P. 325 - 325

Published: April 27, 2025

Airline customers will often complain to the relevant authorities if they encounter an unpleasant flight experience. The specific complaint information can directly reflect various service problems encountered, so conducting in-depth research on public air transport passenger complaints reveal important details for improving service. Therefore, by analyzing data of civil aviation departments in China, we propose a method identifying key topics based text mining. We organically integrate sentiment analysis, topic modeling and association rule A new analysis framework is constructed, which provides perspectives ideas related application fields. First, calculate orientation dictionary filter texts with strong negative sentiment. Then, compare two methods LDA (Latent Dirichlet Allocation) LSA Semantic Analysis). Finally, select better extract main hidden high emotional intensity. use Apriori algorithm mine rules between words problem classification labels text. FP-growth subject By comparing algorithm, results mining support, confidence promotion show that more efficient. analyze causes suggest improvement strategies airlines airports.

Language: Английский

Citations

0
Unveiling Technological Innovation in Construction Waste Recycling: Insights from Text Mining DOI Creative Commons
Mengqi Yuan, Sijin Chen,

Mai Liu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(9), P. 1544 - 1544

Published: May 3, 2025

Dealing with solid waste has always been a global concern, and construction is one of the most important parts. Addressing how to properly dispose waste, reduce its negative environmental impact, achieve effective resource recycling emerged as an urgent problem be solved. Technological innovation underpins efficient reduction, reuse, recycling, but existing research often overlooks systematic quantitative measurements initiatives. This study uncovers development status trends (CWR) technology, identifies key points potential directions for technological development, also explores practical strategies promote industrial growth. Through patent analysis, this current within China’s CWR industry. A text mining approach employed analyze texts related core technologies, explore topic contents, identify intensities evolution trends. comparative analysis between China dominant countries in reveals strengths weaknesses. The results indicate that applications industry are substantial, rapid growth rate, while competitiveness remains weak. applicants widely distributed, traditional enterprises demonstrating strong capabilities, emerging small-to-medium lack vitality. advantages developing devices wastewater treatment foundation some other technologies offers overview initiatives industry, representing breakthrough research. findings will assist policymakers formulating evidence-driven CWR.

Language: Английский

Citations

0