CRAN/E | lsa

lsa

Latent Semantic Analysis

Installation

About

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.

Key Metrics

Version 0.73.3
Published 2022-05-09 689 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks lsa results

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Maintainer

Maintainer

Fridolin Wild

wild@brookes.ac.uk

Authors

Fridolin Wild

Material

ChangeLog
Reference manual
Package source

In Views

NaturalLanguageProcessing

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lsa archive

Depends

SnowballC

Suggests

tm

Reverse Depends

AurieLSHGaussian
LSAfun

Reverse Imports

BrainSABER
ccmap
CellScore
CoreGx
DCD
DiffNet
DTWBI
DTWUMI
FSMUMI
IBCF.MTME

Reverse Suggests

quanteda
quanteda.textmodels
Signac