A systematic review of the use of topic models for short text social media analysis

CDP Laureate, W Buntine, H Linger - Artificial Intelligence Review, 2023‏ - Springer
Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …

Integrating resilience and sustainability: A systematic analysis of resilient cities using ISO 37123

DMDG Chiroli, MG Menezes, FC Zola… - International journal of …, 2023‏ - Elsevier
Integrating resilience into governance policies has facilitated disaster prevention and
recovery strategies, as urbanization and climate change have led to various environmental …

Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries

D Sunitha, RK Patra, NV Babu, A Suresh… - Pattern recognition …, 2022‏ - Elsevier
As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in
that around 50.20 lakhs people lost their lives, because of this infectious disease. By …

The pathway of urban planning AI: From planning support to plan-making

ZR Peng, KF Lu, Y Liu, W Zhai - Journal of Planning …, 2024‏ - journals.sagepub.com
Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform
and reshape the field of urban planning. However, several unanswered questions persist …

Energy inequality in climate hazards: Empirical evidence of social and spatial disparities in managed and hazard-induced power outages

N Coleman, A Esmalian, CC Lee, E Gonzales… - Sustainable Cities and …, 2023‏ - Elsevier
Due to the effects of climate change and urbanization, the severity and frequency of hazard
events is expected to increase. The energy sector in the United States is ever more …

Social media for enhanced understanding of disaster resilience during Hurricane Florence

F Yuan, M Li, R Liu, W Zhai, B Qi - International Journal of Information …, 2021‏ - Elsevier
Citizens with different demographic characters presented varying responses and behaviors
in the same disasters. Their divergent responses can impact their actual damages during …

Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data

C Podesta, N Coleman, A Esmalian… - Journal of the …, 2021‏ - royalsocietypublishing.org
This research establishes a methodological framework for quantifying community resilience
based on fluctuations in a population's activity during a natural disaster. Visits to points-of …

Social media for emergency rescue: An analysis of rescue requests on Twitter during Hurricane Harvey

L Zou, D Liao, NSN Lam, MA Meyer… - International journal of …, 2023‏ - Elsevier
Social media plays increasingly significant roles in disaster response, but effectively
leveraging social media for rescue is challenging. This study analyzed rescue requests on …

Understanding the evolutions of public responses using social media: Hurricane Matthew case study

F Yuan, M Li, R Liu - International journal of disaster risk reduction, 2020‏ - Elsevier
Understanding timely evolutions of public responses during disasters can help crisis
response managers design and implement response strategies. Recent studies mainly …

Smart flood resilience: Harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness

F Yuan, C Fan, H Farahmand, N Coleman… - Environmental …, 2022‏ - iopscience.iop.org
Smart resilience is the beneficial result of the collision course of the fields of data science
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …