A Bayesian Graphical Model to Discover Latent Events from Twitter.
Wei WeiKenneth JosephWei LoKathleen M. CarleyPublished in: ICWSM (2015)
Keyphrases
- graphical models
- bayesian networks
- probabilistic model
- random variables
- belief propagation
- statistical inference
- probabilistic inference
- social media
- approximate inference
- conditional dependencies
- latent variables
- probabilistic graphical models
- structure learning
- exact inference
- map inference
- conditional random fields
- markov networks
- factor graphs
- posterior distribution
- social networks
- graph structure
- belief networks
- conditional independence
- loopy belief propagation
- maximum likelihood
- gaussian graphical models
- markov chain monte carlo
- bayesian inference
- twitter users
- posterior probability
- message passing
- exponential family