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  "Description": "The basic idea of latent semantic analysis (LSA) is, that\ntext do have a higher order (=latent semantic) structure which,\nhowever, is obscured by word usage (e.g. through the use of\nsynonyms or polysemy). By using conceptual indices that are\nderived statistically via a truncated singular value\ndecomposition (a two-mode factor analysis) over a given\ndocument-term matrix, this variability problem can be overcome.",
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  "Maintainer": "Fridolin Wild <wild@brookes.ac.uk>",
  "Repository": "https://fwild.r-universe.dev",
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    "sample.textmatrix",
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    "textvector"
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      "table": true,
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