Social media platforms provide active communication channels during mass convergence
and emergency events such as disasters caused by natural hazards. As a result, first …

Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

Locations, eg, countries, states, cities, and point-of-interests, are central to news, emergency
events, and people's daily lives. Automatic identification of locations associated with or …

Enabling situation awareness in a given environment thus relies on being able to identify an
appropriate set of perception elements, coupled with higher-level comprehension patterns …

A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

Hyper-resolution datasets for urban flooding are rare. This problem prevents detailed
flooding risk analysis, urban flooding control, and the validation of hyper-resolution …

Twitter is recently being used during crises to communicate with officials and provide rescue
and relief operation in real time. The geographical location information of the event, as well …

The objective of this study is to propose and test a hybrid machine learning pipeline to
uncover the unfolding of disaster events corresponding to different locations from social …

The increasing popularity of the social networking service, Twitter, has made it more
involved in day-to-day communications, strengthening social relationships and information …