Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

Social media tools are integrated in most parts of our daily lives, as citizens, netizens,
researchers or emergency responders. Lessons learnt from disasters and emergencies that …

We introduce RealTime QA, a dynamic question answering (QA) platform that announces
questions and evaluates systems on a regular basis (weekly in this version). RealTime QA …

During natural and man-made disasters, people use social media platforms such as Twitter
to post textual and multimedia content to report updates about injured or dead people …

Argumentation mining aims at automatically extracting structured arguments from
unstructured textual documents. It has recently become a hot topic also due to its potential in …

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 …

We present AIDR (Artificial Intelligence for Disaster Response), a platform designed to
perform automatic classification of crisis-related microblog communications. AIDR enables …

Locating timely, useful information during crises and mass emergencies is critical for those
forced to make potentially life-altering decisions. As the use of Twitter to broadcast useful …

Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …