This package provides monad-like implementation for for the following Latent Semantic Analysis (LSA) main sequence of steps :

  1. ingesting a collection of documents;
  2. creating a document-term matrix (linear vector space representation);
  3. facilitating term-paragraph matrix creation or other breakdowns;
  4. apply different type of term-weighting functions;
  5. extract topics using NNMF (or SVD) with required parameters;
  6. provide topic interpretation;
  7. produce corresponding statistical thesauri;
  8. provide different statistics over the document collection.

Usage examples

Last updated November 16, 2019 LSA Dimension reduction ICA NNMF SVD History Delete Edit Link