GDTM: A Gaussian Dynamic Topic Model for Forwarding Prediction Under Complex Mechanisms.
Qian LiLiangyun LiuMing XuBin WuYunpeng XiaoPublished in: IEEE Trans. Comput. Soc. Syst. (2019)
Keyphrases
- topic models
- topic modeling
- latent dirichlet allocation
- text mining
- generative model
- latent topics
- co occurrence
- latent variables
- text documents
- latent topic model
- probabilistic topic models
- variational inference
- gibbs sampling
- real world
- gaussian process
- maximum likelihood
- probabilistic model
- feature space
- artificial intelligence
- machine learning