Natural Language Processing for Meta Analysis

Given a CSV file with titles and abstracts, the package creates a document-term matrix that is lemmatized and stemmed and can directly be used to train machine learning methods for automatic title-abstract screening in the preparation of a meta analysis.


R-CMD-check Codecov test coverage CRAN status

MetaNLP

Create data frames that can be used for automated title-abstract screening.

Installation

Install the current CRAN release with:

install.packages("MetaNLP")

Install the development version directly from GitHub with:

devtools::install_github("imbi-heidelberg/MetaNLP")

Reference manual

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install.packages("MetaNLP")

0.1.4 by Maximilian Pilz, a year ago


https://github.com/imbi-heidelberg/MetaNLP


Report a bug at https://github.com/imbi-heidelberg/MetaNLP/issues


Browse source code at https://github.com/cran/MetaNLP


Authors: Nico Bruder [aut] , Samuel Zimmermann [aut] (ORCID: , Johannes Vey [aut] , Maximilian Pilz [aut, cre] (ORCID: , Institute of Medical Biometry - University of Heidelberg [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports glmnet, tm, textstem, methods, lexicon, utils

Suggests knitr, rmarkdown, testthat, covr, wordcloud, vdiffr


See at CRAN