Memory-Efficient Topic Modeling
Published in arXiv (Cornell University) • Jun 6, 2012
NobleIDNI9P07W74R68S40
Authors:,,
Jia Zeng
Zhiqiang Liu
Xiao-Qin Cao
Abstract
As one of the simplest probabilistic topic modeling techniques, latent Dirichlet allocation (LDA) has found many important applications in text mining, computer vision and computational biology. Recent training algorithms for LDA can be interpreted within a unified message passing framework. However...
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