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 …

Featured Application Specific application include detect hot events and monitor the
development of events, potential applications include public opinion regulatory, monitor …

As news organizations embrace transparency practices on their websites to distinguish
themselves from those spreading misinformation, HCI designers have the opportunity to …

Event detection aims to discover news documents that report on the same event and
arrange them under the same group. With the explosive growth of online news, there is a …

The development of the internet and digital technologies has inadvertently facilitated the
huge disinformation problem that faces society nowadays. This phenomenon impacts …

Topic detection as a tool to detect topics from online media attracts much attention.
Generally, a topic is characterized by a set of informative keywords/terms. Traditional …

Web and artificial intelligence technologies, especially semantic web and knowledge graph
(KG), have recently raised significant attention in educational scenarios. Nevertheless …

Topic detection aims to discover valuable topics from the massive online news. It can help
people to capture what is happening in real world and alleviate the burden of information …

Context awareness systems, a subcategory of intelligent systems, are concerned with
suggesting relevant products/services to users' situations as smart services. One key …

Document clustering is of high importance for many natural language technologies. A wide
range of computational traditional topic models, such as LDA (Latent Dirichlet Allocation) …