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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.73.4 |
2026-04-09 windows/windows R-4.5 | lsa_0.73.4.zip |
194.4 KiB |