Distributed fusion of heterogeneous remote sensing and social media data: A review and new developments
Despite the wide availability of remote sensing big data from numerous different Earth
Observation (EO) instruments, the limitations in the spatial and temporal resolution of such …
Observation (EO) instruments, the limitations in the spatial and temporal resolution of such …
Multi-source multimodal data and deep learning for disaster response: a systematic review
Mechanisms for sharing information in a disaster situation have drastically changed due to
new technological innovations throughout the world. The use of social media applications …
new technological innovations throughout the world. The use of social media applications …
Blockchain-based event detection and trust verification using natural language processing and machine learning
Information sharing is one of the huge topics in social media platform regarding the daily
news related to events or disasters happens in nature or its human-made. The automatic …
news related to events or disasters happens in nature or its human-made. The automatic …
Leveraging Twitter data to analyze the virality of Covid-19 tweets: a text mining approach
As the novel coronavirus spreads across the world, work, pleasure, entertainment, social
interactions, and meetings have shifted online. The conversations on social media have …
interactions, and meetings have shifted online. The conversations on social media have …
Changes in Twitter geolocations: Insights and suggestions for future usage
Twitter data has become established as a valuable source of data for various application
scenarios in the past years. For many such applications, it is necessary to know where …
scenarios in the past years. For many such applications, it is necessary to know where …
Deep learning models for road passability detection during flood events using social media data
During natural disasters, situational awareness is needed to understand the situation and
respond accordingly. A key need is assessing open roads for transporting emergency …
respond accordingly. A key need is assessing open roads for transporting emergency …
Cross-lingual and cross-domain crisis classification for low-resource scenarios
Social media data has emerged as a useful source of timely information about real-world
crisis events. One of the main tasks related to the use of social media for disaster …
crisis events. One of the main tasks related to the use of social media for disaster …
Crisis communication: a comparative study of communication patterns across crisis events in social media
Valuable and timely information about crisis situations such as natural disasters, can be
rapidly obtained from user-generated content in social media. This has created an emergent …
rapidly obtained from user-generated content in social media. This has created an emergent …
[PDF][PDF] Identifying Disaster-related Tweets: A Large-Scale Detection Model Comparison.
Social media applications such as Twitter and Facebook are fast becoming a key instrument
in gaining situational awareness (understanding the bigger picture of the situation) during …
in gaining situational awareness (understanding the bigger picture of the situation) during …
Combining supervised and unsupervised learning to detect and semantically aggregate crisis-related twitter content
Twitter is an immediate and almost ubiquitous platform and therefore can be a valuable
source of information during disasters. Current methods for identifying and classifying crisis …
source of information during disasters. Current methods for identifying and classifying crisis …