Topic models extract commonly occurring latent topics from textual data. Statistical models
such as Latent Dirichlet Allocation do not produce dense topic embeddings readily …

Availability of immense amount of unstructured text has surged the demand for intelligent
natural language processing (NLP) systems. Specifically, these systems are expected to …

On social networks, investigating how the influence is propagated is crucial in
understanding the network evolution and the social impact of different topics. In previous …

Human behavior prediction is critical to studying how healthy behavior can spread through a
social network. In this work we present a novel user representation based human behavior …