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 |
rolling linux/jammy R-4.5 | lsa_0.73.4.tar.gz |
191.2 KiB |
0.73.4 |
rolling linux/noble R-4.5 | lsa_0.73.4.tar.gz |
191.4 KiB |
0.73.4 |
rolling source/ R- | lsa_0.73.4.tar.gz |
119.9 KiB |
0.73.4 |
latest linux/jammy R-4.5 | lsa_0.73.4.tar.gz |
191.2 KiB |
0.73.4 |
latest linux/noble R-4.5 | lsa_0.73.4.tar.gz |
191.4 KiB |
0.73.4 |
latest source/ R- | lsa_0.73.4.tar.gz |
119.9 KiB |
0.73.4 |
2026-04-26 source/ R- | lsa_0.73.4.tar.gz |
119.9 KiB |
0.73.4 |
2026-04-23 source/ R- | lsa_0.73.4.tar.gz |
119.9 KiB |
0.73.4 |
2026-04-09 windows/windows R-4.5 | lsa_0.73.4.zip |
194.4 KiB |
0.73.3 |
2025-04-20 source/ R- | lsa_0.73.3.tar.gz |
119.9 KiB |