A review of social media-based public opinion analyses: Challenges and recommendations
X Dong, Y Lian - Technology in Society, 2021 - Elsevier
Compared with survey polls, social media can yield a better and more comprehensive
understanding of public perceptions of special topics in a more scientific manner. However …
understanding of public perceptions of special topics in a more scientific manner. However …
Digital twin smart cities for disaster risk management: a review of evolving concepts
MRMF Ariyachandra, G Wedawatta - Sustainability, 2023 - mdpi.com
Natural hazard-induced disasters have caused catastrophic damage and loss to buildings,
infrastructure, and the affected communities as a whole during the recent decades and their …
infrastructure, and the affected communities as a whole during the recent decades and their …
Design and analysis of a large-scale COVID-19 tweets dataset
R Lamsal - applied intelligence, 2021 - Springer
Abstract As of July 17, 2020, more than thirteen million people have been diagnosed with
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …
the Novel Coronavirus (COVID-19), and half a million people have already lost their lives …
Detecting fake news by exploring the consistency of multimodal data
During the outbreak of the new Coronavirus (2019-nCoV) in 2020, the spread of fake news
has caused serious social panic. Fake news often uses multimedia information such as text …
has caused serious social panic. Fake news often uses multimedia information such as text …
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages
Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …
location descriptions, such as the locations of victims. Recent research has shown that many …
AI and data science for smart emergency, crisis and disaster resilience
L Cao - International journal of data science and analytics, 2023 - Springer
The uncertain world has seen increasing emergencies, crises and disasters (ECDs), such as
the COVID-19 pandemic, hurricane Ian, global financial inflation and recession …
the COVID-19 pandemic, hurricane Ian, global financial inflation and recession …
Active learning based federated learning for waste and natural disaster image classification
The feasibility of Federated Learning (FL) is highly dependent on the training and inference
capabilities of local models, which are subject to the availability of meaningful and …
capabilities of local models, which are subject to the availability of meaningful and …
Toward a collective agenda on ai for earth science data analysis
In past years, we have witnessed the fields of geosciences and remote sensing and artificial
intelligence (AI) become closer. Thanks to the massive availability of observational data …
intelligence (AI) become closer. Thanks to the massive availability of observational data …
Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis
Abstract Multi-modal Aspect-based Sentiment Analysis (MABSA) aims to forecast the polarity
of sentiment concerning aspects within a given sentence based on the correlation between …
of sentiment concerning aspects within a given sentence based on the correlation between …
Investigating the emotional experiences in eSports spectatorship: The case of League of Legends
F Cauteruccio, Y Kou - Information Processing & Management, 2023 - Elsevier
Electronic sports (eSports) is competitive video gaming that is coordinated and managed by
sporting organizations. While traditional sports have thrived on spectatorship and the …
sporting organizations. While traditional sports have thrived on spectatorship and the …