Improving Emotion Classification through Variational Inference of Latent Variables.
Srinivas ParthasarathyViktor RozgicMing SunChao WangPublished in: ICASSP (2019)
Keyphrases
- latent variables
- variational inference
- posterior distribution
- topic models
- gaussian process
- probabilistic model
- probabilistic graphical models
- factor graphs
- exact inference
- approximate inference
- bayesian inference
- prior knowledge
- random variables
- variational methods
- latent dirichlet allocation
- hidden variables
- markov chain monte carlo
- structured prediction
- text mining
- data mining
- generative model
- co occurrence
- conditional random fields
- markov networks
- graphical models