Package: lsa 0.73.3
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.
Authors:
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lsa.pdf |lsa.html✨
lsa/json (API)
# Install 'lsa' in R: |
install.packages('lsa', repos = c('https://fwild.r-universe.dev', 'https://cloud.r-project.org')) |
- alnumx - Regular expression for removal of non-alphanumeric characters
- corpus_essays - Corpora
- corpus_scores - Corpora
- corpus_training - Corpora
- specialchars - List of special character html entities and their character replacement
- stopwords_ar - Stopwordlists in German, English, Dutch, French, Polish, and Arab
- stopwords_de - Stopwordlists in German, English, Dutch, French, Polish, and Arab
- stopwords_en - Stopwordlists in German, English, Dutch, French, Polish, and Arab
- stopwords_fr - Stopwordlists in German, English, Dutch, French, Polish, and Arab
- stopwords_nl - Stopwordlists in German, English, Dutch, French, Polish, and Arab
- stopwords_pl - Stopwordlists in German, English, Dutch, French, Polish, and Arab
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:31ba5c16be. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | NOTE | Nov 15 2024 |
R-4.5-linux | NOTE | Nov 15 2024 |
R-4.4-win | NOTE | Nov 15 2024 |
R-4.4-mac | NOTE | Nov 15 2024 |
R-4.3-win | NOTE | Nov 15 2024 |
R-4.3-mac | NOTE | Nov 15 2024 |
Exports:as.textmatrixassociatecosinedelTripledimcalc_kaiserdimcalc_ndocsdimcalc_rawdimcalc_shareentropyfold_ingetTriplegw_entropygw_gfidfgw_idfgw_normalisationlsalw_bintflw_logtflw_tfprint.textmatrixquerysample.textmatrixsetTriplesummary.textmatrixtextmatrixtextvector
Dependencies:SnowballC