Neural Topic Modeling via Discrete Variational Inference
A Gupta, Z Zhang - ACM Transactions on Intelligent Systems and …, 2023 - dl.acm.org
Topic models extract commonly occurring latent topics from textual data. Statistical models
such as Latent Dirichlet Allocation do not produce dense topic embeddings readily …
such as Latent Dirichlet Allocation do not produce dense topic embeddings readily …
A deep learning odyssey on structured natural language processing
A Gupta - 2022 - search.proquest.com
Availability of immense amount of unstructured text has surged the demand for intelligent
natural language processing (NLP) systems. Specifically, these systems are expected to …
natural language processing (NLP) systems. Specifically, these systems are expected to …
Regularized topic-aware latent influence propagation in dynamic relational networks
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 …
understanding the network evolution and the social impact of different topics. In previous …
Interaction network representations for human behavior prediction
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 …
social network. In this work we present a novel user representation based human behavior …