A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media.
Rahul Radhakrishnan IyerJing ChenHaonan SunKeyang XuPublished in: CoRR (2019)
Keyphrases
- graphical models
- social media
- belief propagation
- probabilistic model
- random variables
- approximate inference
- probabilistic graphical models
- probabilistic inference
- markov networks
- bayesian networks
- factor graphs
- exact inference
- conditional random fields
- structure learning
- conditional independence
- nonparametric belief propagation
- gaussian graphical models
- map inference
- undirected graphical models
- conditional dependencies
- graph structure
- social networks
- message passing
- belief networks
- sentiment analysis
- three dimensional
- statistical inference
- twitter users
- conditional probabilities