Latent Dirichlet Allocation
Blei et al., 2003, Latent Dirichlet Allocation (Journal of Machine Learning Research)
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7.2 Document classification
- How did LDA work as a feature reducer for text classification?On Reuters-21578 binary tasks (EARN, GRAIN), an SVM on the 50 \(\gamma^*\) features of a 50-topic LDA model (a 99.6% feature reduction) lost little accuracy compared with all word features, and was better in almost all cases.
- Blei et al., 2003, Latent Dirichlet Allocation (Journal of Machine Learning Research), §7.2, pp. 1012–1013
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