The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

The mining of Tweets to develop datasets on recent issues, global challenges, pandemics,
virus outbreaks, emerging technologies, and trending matters has been of significant interest …

Real-world social events typically exhibit a severe class-imbalance distribution, which
makes the trained detection model encounter a serious generalization challenge. Most …

Social Event Detection (SED) aims to identify significant events from social streams, and has
a wide application ranging from public opinion analysis to risk management. In recent years …

Social networks are critical sources for event detection thanks to the characteristics of
publicity and dissemination. Unfortunately, the randomness and semantic sparsity of the …

State-of-the-art Graph Neural Networks (GNNs) have achieved tremendous success in
social event detection tasks when restricted to a closed set of events. However, considering …

This paper introduces an advanced event detection model for legal intelligence, focusing on
identifying event types in legal cases by examining trigger word candidates. It employs the …

The exoskeleton technology has been rapidly advancing in the recent past due to its
multitude of applications and diverse use cases in assisted living, military, healthcare …

Social event detection refers to extracting relevant message clusters from social media data
streams to represent specific events in the real world. Social event detection is important in …

Social media is becoming a primary medium to discuss what is happening around the world.
Therefore, the data generated by social media platforms contain rich information which …