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lsa  

Latent Semantic Analysis
View on CRAN: Click here


Download and install lsa package within the R console
Install from CRAN:
install.packages("lsa")

Install from Github:
library("remotes")
install_github("cran/lsa")

Install by package version:
library("remotes")
install_version("lsa", "0.73.3")



Attach the package and use:
library("lsa")
Maintained by
Fridolin Wild
[Scholar Profile | Author Map]
First Published: 2005-11-25
Latest Update: 2022-05-09
Description:
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.
How to cite:
Fridolin Wild (2005). lsa: Latent Semantic Analysis. R package version 0.73.3, https://cran.r-project.org/web/packages/lsa. Accessed 01 May. 2025.
Previous versions and publish date:
0.57 (2005-11-25 11:33), 0.59 (2008-02-19 10:41), 0.61 (2009-02-10 09:21), 0.63-1 (2009-09-10 21:02), 0.63-2 (2010-11-22 22:04), 0.63-3 (2011-06-26 16:59), 0.63 (2009-08-21 19:58), 0.73.1 (2015-05-08 19:58), 0.73.2 (2020-05-04 14:39), 0.73 (2014-04-02 14:43)
Other packages that cited lsa R package
View lsa citation profile
Other R packages that lsa depends, imports, suggests or enhances
Complete documentation for lsa
Functions, R codes and Examples using the lsa R package
Some associated functions: alnumx . as.textmatrix . associate . corpora . cosine . dimcalc . foldin . lsa . print.textmatrix . query . sample.textmatrix . specialchars . stopwords . summary.textmatrix . textmatrix . triples . weightings . 
Some associated R codes: associate.R . cosine.R . dimcalc.R . lsa.R . query.R . sample.textmatrix.R . textmatrix.R . triples.R . weightings.R .  Full lsa package functions and examples
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