Latent Dirichlet Allocation
Blei et al., 2003, Latent Dirichlet Allocation (Journal of Machine Learning Research)
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8 Discussion
- What advantages of LDA as a generative model did Blei et al. stress, and what extensions did they suggest?Modularity and extensibility: LDA can be embedded in larger models (e.g. images with captions), unlike LSI. Extensions: other emission distributions (e.g. Gaussian), mixtures of Dirichlets, topics in a time series or conditioned on exogenous variables. Inference alternatives include expectation propagation and MCMC (Griffiths and Steyvers 2002).
- Blei et al., 2003, Latent Dirichlet Allocation (Journal of Machine Learning Research), §8, pp. 1014–1015
Source
- David M. Blei, Andrew Y. Ng and Michael I. Jordan. 2003. Latent Dirichlet Allocation. In Journal of Machine Learning Research, pp. 993–1022. https://www.jmlr.org/papers/v3/blei03a.html