Probabilistic latent semantic analysis: Difference between revisions

Revision as of 14:23, 1 April 2018

Revision as of 12:11, 29 May 2018

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PLSA has applications in [[information retrieval]] and [[information filtering|filtering]], [[natural language processing]], [[machine learning]] from text, and related areas.

It is reported that the [[aspect model]] used in the probabilistic latent semantic analysis has severe [[overfitting]] problems.<ref>{{cite journal|title=Latent Dirichlet Allocation|journal=Journal of Machine Learning Research|year=2003|first=David M.|last=Blei|author2=Andrew Y. Ng |author3=Michael I. Jordan |volume=3|pages=993–1022|id= |url=http://www.jmlr.csail.mit.eduorg/papers/volumep3volume3/blei03a/blei03a.pdf|doi=10.1162/jmlr.2003.3.4-5.993}}</ref>

==Extensions ==