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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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