Probabilistic Latent Semantic Analysis - Application

Application

PLSA may be used in a discriminative setting, via Fisher kernels.

PLSA has applications in information retrieval and 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.

In 2012, pLSA has also been used in the bioinformatics context, for prediction of Gene Ontology biomolecular annotations.

Read more about this topic:  Probabilistic Latent Semantic Analysis

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