Package: nlpembeds
Title: Natural Language Processing Embeddings
Version: 1.0.0
Authors@R: c(person("Thomas", "Charlon", role = c("aut", "cre"),
                    email = "charlon@protonmail.com",
                    comment = c(ORCID = "0000-0001-7497-0470")),
             person("Doudou", "Zhou", role = "ctb",
                    comment = c(ORCID = "0000-0002-0830-2287")),
             person("CELEHS", role = "aut",
                    comment = "<https://celehs.hms.harvard.edu>"))
Description: Provides efficient methods to compute co-occurrence
        matrices, pointwise mutual information (PMI) and singular value
        decomposition (SVD). In the biomedical and clinical settings,
        one challenge is the huge size of databases, e.g. when
        analyzing data of millions of patients over tens of years. To
        address this, this package provides functions to efficiently
        compute monthly co-occurrence matrices, which is the
        computational bottleneck of the analysis, by using the
        'RcppAlgos' package and sparse matrices. Furthermore, the
        functions can be called on 'SQL' databases, enabling the
        computation of co-occurrence matrices of tens of gigabytes of
        data, representing millions of patients over tens of years.
        Partly based on Hong C. (2021)
        <doi:10.1038/s41746-021-00519-z>.
Imports: data.table, magrittr, Matrix, methods, parallel, RcppAlgos,
        reshape2, RSQLite, rsvd
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://gitlab.com/thomaschln/nlpembeds
BugReports: https://gitlab.com/thomaschln/nlpembeds/-/issues
Config/pak/sysreqs: libgmp3-dev libicu-dev
Repository: https://thomaschln.r-universe.dev
Date/Publication: 2025-06-11 13:05:53 UTC
RemoteUrl: https://gitlab.com/thomaschln/nlpembeds
RemoteRef: HEAD
RemoteSha: 69584a84c86d71211317f1d3f950c1301a2cee2c
NeedsCompilation: no
Packaged: 2026-06-06 07:54:50 UTC; root
Author: Thomas Charlon [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-7497-0470>),
  Doudou Zhou [ctb] (ORCID: <https://orcid.org/0000-0002-0830-2287>),
  CELEHS [aut] (<https://celehs.hms.harvard.edu>)
Maintainer: Thomas Charlon <charlon@protonmail.com>