CBEES: A fine-grained commercial built environment perception and evaluation based on social media DOI
Caixia Yuan, Xia Zhang, Luliang Tang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106120 - 106120

Published: Dec. 1, 2024

Language: Английский

Assessing and interpreting perceived park accessibility, usability and attractiveness through texts and images from social media DOI
Xukai Zhao, Yuxing Lu, Wenwen Huang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 112, P. 105619 - 105619

Published: July 3, 2024

Language: Английский

Citations

9
Underneath Social Media Texts: Sentiment Responses to Public Health Emergency During 2022 COVID-19 Pandemic in China DOI
Bingyao Jia, Mao Xie, Jing Wu

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105239 - 105239

Published: Jan. 1, 2025

Language: Английский

Citations

0
Exploring tourists' perceptions of ecosystem services in national parks to guide the optimization of management DOI
Xiaomin Xiao,

Yichen Yan,

Yuxin Qi

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145134 - 145134

Published: Feb. 1, 2025

Language: Английский

Citations

0
How to Quantify Multidimensional Perception of Urban Parks? Integrating Deep Learning-Based Social Media Data Analysis with Questionnaire Survey Methods DOI
Wenwen Huang, Xukai Zhao, Guangsi Lin

et al.

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128754 - 128754

Published: March 1, 2025

Language: Английский

Citations

0
AI-Driven Framework for Assessing Visitor Perceptions in Historic Urban Areas Using Social Media DOI
Wei Chen, Kai Zhou, Hu Bin

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract As urbanization progresses, preserving and adapting historical districts for sustainable development is crucial. These areas embody significant cultural heritage contribute to economic, social, sustainability. However, research on visitor perceptions, particularly spatial satisfaction, limited, especially in fine-grained analyses using social media data. This study introduces a framework evaluating perceptions Aspect-Based Sentiment Analysis (ABSA) enhanced by BO-DXGBoost model, cascaded system combining two XGBoost models fine-tuned through Bayesian Optimization (BO). The first model identifies aspect categories, while the second analyzes sentiment polarity intensity. Class imbalance addressed ADASYN RF-SMOTE, SHAP analysis visualizes feature influences predictions. provides quantitative insights into of offers robust approach management integration

Language: Английский

Citations

0
Public sentiment analysis of data center energy consumption using social media data and large language models DOI
Hongyu Wang, Weiqi Hua, Jinqing Peng

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115802 - 115802

Published: April 1, 2025

Language: Английский

Citations

0
Susceptibility and risk to inhalation of pathogen-laden aerosol in large public spaces: Evidence from Fangcang shelter hospitals under multiple ventilation rates DOI
Chuan Jiang, Zhijian Liu, Yongxin Wang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106003 - 106003

Published: Nov. 1, 2024

Language: Английский

Citations

0
CBEES: A fine-grained commercial built environment perception and evaluation based on social media DOI
Caixia Yuan, Xia Zhang, Luliang Tang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106120 - 106120

Published: Dec. 1, 2024

Language: Английский

Citations

0