Twitter location inference methods are developed with the purpose of increasing the
percentage of geotagged tweets by inferring locations on a non-geotagged dataset. For …

In the early stages of a disaster caused by a natural hazard (eg, flood), the amount of
available and useful information is low. To fill this informational gap, emergency responders …

Abstract Information from social media can provide essential information for emergency
response during natural disasters in near real-time. However, it is a difficult task to identify …

When a disaster emerges, timely acquisition of information is crucial for a rapid situation
assessment. Although automation in the standard satellite-based emergency mapping …

With the vast amount of social media posts available online, topic modeling and sentiment
analysis have become central methods to better understand and analyze online behavior …

Efficiently managing complex disasters relies on having a comprehensive understanding of
the situation at hand. Immediately after a disaster strikes, it is crucial to quickly identify the …

This study aimed to systematically examine the studies conducted and published on
immigrants, asylum seekers, and refugees by using big data written in English. Articles were …

Abstract Machine learning (ML) techniques are broadly employed in several domains,
including economics, business, and medicine, to support decision-making. Many works …

During asylum seeking procedures, refugees are required to provide significant amounts of
private information. When asylum application records are summarised and made publicly …