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.
copied from cf-staging / r-lsa| Label | Latest Version |
|---|---|
| main | 0.73.3 |
| cf201901 | 0.73.1 |
| cf202003 | 0.73.1 |
| gcc7 | 0.73.1 |
