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 …

Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

The significant potential of Blockchain Technology (BT) to prevent energy poverty is rooted
in its decentralized nature and robust security features. This review, strengthened by an …

Topic modelling is a machine learning technique that is extensively used in Natural
Language Processing (NLP) applications to infer topics within unstructured textual data …

As a trending approach for social event detection, graph neural network (GNN)-based
methods enable a fusion of natural language semantics and the complex social network …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

Societies are confronted with destructive natural disasters of increasing frequency. Social
networks are playing an increasingly important role as early warning systems, aiding with …

The proliferation of social networking services has resulted in a rapid growth of their user
base, spanning across the world. The collective information generated from these online …

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