[HTML][HTML] Social media use in disaster recovery: A systematic literature review
Studies on the role of social media in disaster management have so far focused mainly on
early phases of the disaster response process. Published evidence regarding the scope and …
early phases of the disaster response process. Published evidence regarding the scope and …
A systematic review of the use of topic models for short text social media analysis
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 …
datasets. These models are typically evaluated using automated measures. However, recent …
Exploring customer satisfaction in cold chain logistics using a text mining approach
Purpose With the fierce competition in the cold chain logistics market, achieving and
maintaining excellent customer satisfaction is the key to an enterprise's ability to stand out …
maintaining excellent customer satisfaction is the key to an enterprise's ability to stand out …
[HTML][HTML] The use of crowdsourced social media data to improve flood forecasting
Reliable flood forecasting systems are essential for predicting and mitigating the impact of
flooding worldwide. However, minimising flood forecast uncertainties remains a challenging …
flooding worldwide. However, minimising flood forecast uncertainties remains a challenging …
Temporal and spatial evolution and influencing factors of public sentiment in natural disasters—a case study of typhoon haiyan
T Zhang, C Cheng - ISPRS International Journal of Geo-Information, 2021 - mdpi.com
The public's attitudes, emotions, and opinions reflect the state of society to a certain extent.
Understanding the state and trends of public sentiment and effectively guiding the direction …
Understanding the state and trends of public sentiment and effectively guiding the direction …
Contribution of social media analytics to disaster response effectiveness: A systematic review of the literature
Disasters are sudden and catastrophic events with fatal consequences. Time-sensitive
information collection from disaster zones is crucial for improved and data-driven disaster …
information collection from disaster zones is crucial for improved and data-driven disaster …
Understanding human activities in response to typhoon Hato from multi-source geospatial big data: A case study in Guangdong, China
Every year typhoons severely disrupt the normal rhythms of human activities and pose
serious threats to China's coast. Previous studies have shown that the impact extent and …
serious threats to China's coast. Previous studies have shown that the impact extent and …
[HTML][HTML] DLRGeoTweet: A comprehensive social media geocoding corpus featuring fine-grained places
Every day, many short text messages on social media are generated in response to real-
world events, providing a valuable resource for various domains such as emergency …
world events, providing a valuable resource for various domains such as emergency …
Postearthquake situational awareness based on mobile phone signaling data: An example from the 2017 Jiuzhaigou earthquake
K Dai, C Cheng, S Shen, K Su, X Zheng… - International Journal of …, 2022 - Elsevier
Mobile phone signaling data reflect people's real-time geographic location and trajectory.
Current research focuses on utilizing mobile phone signaling data to analyze urban …
Current research focuses on utilizing mobile phone signaling data to analyze urban …
Temporal patterns and life cycle dynamics of social media user activity during disasters: A data-driven approach for effective crisis communication
Situational awareness of social media user activity during disasters is essential for effective
and efficient crisis communication. Social media platforms such as Twitter and Facebook …
and efficient crisis communication. Social media platforms such as Twitter and Facebook …