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Latent Semantic Indexing

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Robust Principal Component Analysis? - Columbia University

www.columbia.edu

Latent Semantic Indexing. Web search engines often need to analyze and index the content of an enormous corpus of documents. A popular scheme is the Latent Semantic Indexing (LSI) [Dewester et al. 1990; Papadimitriou et al. 2000]. The basic

  University, Talent, Columbia university, Columbia, Semantics, Indexing, Latent semantic indexing

Latent Dirichlet Allocation - Journal of Machine Learning ...

jmlr.org

other dimensionality reduction techniques, most notably latent semantic indexing (LSI) (Deerwester et al., 1990). LSI uses a singular value decomposition of the X matrix to identify a linear subspace in the space of tf-idffeatures that captures most of the variance in the collection. This approach can

  Talent, Allocation, Semantics, Indexing, Latent dirichlet allocation, Dirichlet, Latent semantic indexing

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