Topic models have been prevalent for decades to discover latent topics and infer topic
proportions of documents in an unsupervised fashion. They have been widely used in …

Aim This study explored the influence of daily new case videos posted by public health
agencies (PHAs) on TikTok in the context of COVID-19 normalization, as well as public …

Podcasts are spoken documents that, in recent years, have gained widespread popularity.
Despite the growing research interest in this domain, conducting user studies remains …

Uncovering hidden topics from short texts is challenging for traditional and neural models
due to data sparsity, which limits word co-occurrence patterns, and label sparsity, stemming …

Artificial Intelligence (AI) and related fields, based on decades of research, have seen a rise
in recent years and are expected to have a significant impact on large parts of industry and …

Recommender systems are ubiquitous in today's technological landscape, integral to
various services. Their prevalence is driven by the massive flow of information on the …

Over the past few decades, the world has witnessed an unprecedented explosion of
information. Of these, a substantial portion consists of unlabeled textual data, such as …

The phenomena that is music goes as far back as 40,000 years to current knowledge
(Spitzer 2021). It has been described as the 'language of emotions'(Cooke 1959). If one …

Artificial Intelligence (AI) and related fields, based on decades of research, have seen a rise
in recent years and are expected to have a significant impact on large parts of industry and …

This work presents a study of how Music Emotion Recognition (MER) systems could be
biased with respect to annotations of musically-induced emotions in a political context …