# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "nlpembeds" in publications use:' type: software license: GPL-3.0-only title: 'nlpembeds: Natural Language Processing Embeddings' version: 1.0.0 doi: 10.32614/CRAN.package.nlpembeds abstract: 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) . authors: - family-names: Charlon given-names: Thomas email: charlon@protonmail.com orcid: https://orcid.org/0000-0001-7497-0470 - name: CELEHS website: https://celehs.hms.harvard.edu repository: https://thomaschln.r-universe.dev repository-code: https://gitlab.com/thomaschln/nlpembeds commit: 25f90ce98b202b821ce74f8db1c43f32a795200b url: https://gitlab.com/thomaschln/nlpembeds contact: - family-names: Charlon given-names: Thomas email: charlon@protonmail.com orcid: https://orcid.org/0000-0001-7497-0470