In community question answering, many questions have no topic labeling or the topic
labeling is very diverse, which has become the biggest obstacle to building the bridge …

Due to the massive volume of articles produced online every day, it is challenging for online
platforms (eg, news agencies) to present the information about an event, activity or …

Purpose Credit risk evaluation is a crucial task for banks and non-bank financial institutions
to support decision-making on granting loans. Most of the current credit risk methods rely …

Learning topic hierarchies from a multi-domain corpus is crucial in topic modeling as it
reveals valuable structural information embedded within documents. Despite the extensive …

Multimodal topic detection is an important social media analysis task with a wide variety of
real-world applications. However, modeling data jointly, and inferring their topics, is …

Misinformation, propaganda, and outright lies proliferate on the web, with some narratives
having dangerous real-world consequences on public health, elections, and individual …

Quickly discovering and processing unmeaningful information is especially important in the
current social network, where public opinion is rapidly fermenting. In this study, a novel topic …

Lifelong topic modeling has attracted much attention in natural language processing (NLP),
since it can accumulate knowledge learned from past for the future task. However, the …

Compared to flat topic models, hierarchical topic models not only exploit inherent structural
information in the corpus but detect better semantic topics with the help of hierarchy …

Les campagnes actuelles de numérisation de documents historiques issus de fonds
documentaires du monde entier ouvrent de nouvelles voies aux historiens, historiennes et …