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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

VersionRepositoryFileSize
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

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