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lsa (version 0.73.3)

Latent Semantic Analysis

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.

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Version

Install

install.packages('lsa')

Monthly Downloads

4,601

Version

0.73.3

License

GPL (>= 2)

Maintainer

Fridolin Wild

Last Published

May 9th, 2022

Functions in lsa (0.73.3)

associate

Find close terms in a textmatrix
corpora

Corpora (Essay Scoring)
dimcalc

Dimensionality Calculation Routines (LSA)
cosine

Cosine Measure (Matrices)
print.textmatrix

Print a textmatrix (Matrices)
weightings

Weighting Schemes (Matrices)
query

Query (Matrices)
textmatrix

Textmatrix (Matrices)
triples

Bind Triples to a Textmatrix
specialchars

List of special character html entities and their character replacement
sample.textmatrix

Create a random sample of files
stopwords

Stopwordlists in German, English, Dutch, French, Polish, and Arab
summary.textmatrix

Summary of a textmatrix (Matrices)
fold_in

Ex-post folding-in of textmatrices into an existing latent semantic space
lsa

Create a vector space with Latent Semantic Analysis (LSA)
alnumx

Regular expression for removal of non-alphanumeric characters (saving special characters)
as.textmatrix

Display a latent semantic space generated by Latent Semantic Analysis (LSA)