Latent Dirichlet Allocation

@article{Blei2003LatentDA,
  title={Latent Dirichlet Allocation},
  author={David M. Blei and A. Ng and Michael I. Jordan},
  journal={J. Mach. Learn. Res.},
  year={2003},
  volume={3},
  pages={993-1022}
}
We propose a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams [6], and Hofmann's aspect model , also known as probabilistic latent semantic indexing (pLSI) [3]. In the context of text modeling, our model posits that each document is generated as a mixture of topics, where the continuous-valued mixture proportions are distributed as a latent Dirichlet random variable… Expand
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References

SHOWING 1-10 OF 71 REFERENCES
Modeling annotated data
Expectation-Propogation for the Generative Aspect Model
Finding scientific topics
  • T. Griffiths, M. Steyvers
  • Computer Science, Medicine
  • Proceedings of the National Academy of Sciences of the United States of America
  • 2004
Latent semantic indexing: a probabilistic analysis
Text Classification from Labeled and Unlabeled Documents using EM
Improving multi-class text classification with Naive Bayes
The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity
...
1
2
3
4
5
...