lsa: Latent Semantic Analysis

The basic idea of latent semantic analysis (LSA) is, that text do have a higher order (=latent semantic) structure which, however, is obscured by word usage (e.g. through the use of synonyms or polysemy). By using conceptual indices that are derived statistically via a truncated singular value decomposition (a two-mode factor analysis) over a given document-term matrix, this variability problem can be overcome.

Getting started

Package details

AuthorFridolin Wild
MaintainerFridolin Wild <wild@brookes.ac.uk>
LicenseGPL (>= 2)
Version0.73.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lsa")

Try the lsa package in your browser

Any scripts or data that you put into this service are public.

lsa documentation built on May 9, 2022, 9:10 a.m.