Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …

Explainable Artificial Intelligence (XAI) is an emerging area of research in the field of
Artificial Intelligence (AI). XAI can explain how AI obtained a particular solution (eg …

Latent Dirichlet allocation (LDA) topic models are increasingly being used in communication
research. Yet, questions regarding reliability and validity of the approach have received little …

Text classification to a hierarchical taxonomy of topics is a common and practical problem.
Traditional approaches simply use bag-of-words and have achieved good results. However …

Additive Manufacturing (AM) is becoming data-intensive while increasingly generating
newly available data. The availability of AM data provides Design for AM (DfAM) with a …

Generalized anxiety disorder (GAD) and major depressive disorder (MDD) are highly
prevalent and impairing problems, but frequently go undetected, leading to substantial …

Despite the ubiquity of textual data, so far few researchers have applied text mining to
answer organizational research questions. Text mining, which essentially entails a …

Machine learning models, such as neural networks, decision trees, random forests and
gradient boosting machines accept a feature vector and provide a prediction. These models …

Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …

The automated categorization (or classification) of texts into predefined categories has
witnessed a booming interest in the last 10 years, due to the increased availability of …