Probabilistic Latent Semantic Indexing

@inproceedings{Hofmann1999ProbabilisticLS,
  title={Probabilistic Latent Semantic Indexing},
  author={Thomas Hofmann},
  booktitle={SIGIR},
  year={1999}
}
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fitted from a training corpus of text documents by a generalization of the Expectation Maximization algorithm, the utilized model is able to deal with domain{speci c synonymy as well as with polysemous words. In contrast to standard Latent Semantic Indexing (LSI) by Singular Value Decomposition, the probabilistic variant… CONTINUE READING
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