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nlpembeds  

Natural Language Processing Embeddings
View on CRAN: Click here


Download and install nlpembeds package within the R console
Install from CRAN:
install.packages("nlpembeds")

Install from Github:
library("remotes")
install_github("cran/nlpembeds")

Install by package version:
library("remotes")
install_version("nlpembeds", "1.0.0")



Attach the package and use:
library("nlpembeds")
Maintained by
Thomas Charlon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-02-04
Latest Update: 2025-02-04
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>.
How to cite:
Thomas Charlon (2025). nlpembeds: Natural Language Processing Embeddings. R package version 1.0.0, https://cran.r-project.org/web/packages/nlpembeds. Accessed 25 Oct. 2026.
Previous versions and publish date:
No previous versions
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View nlpembeds citation profile
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Complete documentation for nlpembeds
Functions, R codes and Examples using the nlpembeds R package
Full nlpembeds package functions and examples
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