The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 0.73.3 |
| Depends: | SnowballC |
| Suggests: | tm |
| Published: | 2022-05-09 |
| Author: | Fridolin Wild |
| Maintainer: | Fridolin Wild <wild at brookes.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | NaturalLanguageProcessing |
| CRAN checks: | lsa results |
| Reference manual: | lsa.pdf |
| Package source: | lsa_0.73.3.tar.gz |
| Windows binaries: | r-devel: lsa_0.73.3.zip, r-release: lsa_0.73.3.zip, r-oldrel: lsa_0.73.3.zip |
| macOS binaries: | r-release (arm64): lsa_0.73.3.tgz, r-oldrel (arm64): lsa_0.73.3.tgz, r-release (x86_64): lsa_0.73.3.tgz, r-oldrel (x86_64): lsa_0.73.3.tgz |
| Old sources: | lsa archive |
| Reverse depends: | AurieLSHGaussian, LSAfun |
| Reverse imports: | aPEAR, ccmap, CellScore, CoreGx, DTWBI, DTWUMI, IBCF.MTME, MACP, OmicsQC, RESOLVE |
| Reverse suggests: | quanteda, quanteda.textmodels, Signac, SpatialDDLS |
Please use the canonical form https://CRAN.R-project.org/package=lsa to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.