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A new version of the ropensci hunspell package has been released to CRAN. Hunspell is the spell checker library used by LibreOffice, OpenOffice, Mozilla Firefox, Google Chrome, Mac OS-X, InDesign, Opera, RStudio and many others. It provides a system for tokenizing, stemming and spelling in almost any language or alphabet. The R package exposes both the high-level spell-checker as well as low-level stemmers and tokenizers which analyze or extract individual words from various formats (text, html, xml, latex)....
A new version of the ropensci magick package has been released to CRAN. Magick is a package for Advanced Image-Processing in R. It wraps the ImageMagick STL which is perhaps the most comprehensive open-source image processing library available today. Our original announcement has more details. 🔗 New features This new version now includes a beautiful vignette which gives an overview of the main functionality to get you started! It lists the various formats, transformations, effects, operations and much more....
The rOpenSci project based at the University of California, Berkeley seeks to hire a postdoctoral scholar to work on the research activities funded by the grant titled “Fostering the next generation of sustainable software and reproducible research practices in the scientific community”. The project develops open source software to promote reproducible research practices in the scientific community. The postdoctoral scholar will focus on a research topic aligned with their own interests in order to better understand and improve scientific software practices....
The new magick package is an ambitious effort to modernize and simplify high-quality image processing in R. It wraps the ImageMagick STL which is perhaps the most comprehensive open-source image processing library available today. The ImageMagick library has an overwhelming amount of functionality. The current version of Magick exposes a decent chunk of it, but being a first release, documentation is still sparse. This post briefly introduces the most important concepts to get started....
The R package ecosystem for natural language processing has been flourishing in recent days. R packages for text analysis have usually been based on the classes provided by the NLP or tm packages. Many of them depend on Java. But recently there have been a number of new packages for text analysis in R, most notably text2vec, quanteda, and tidytext. These packages are built on top of Rcpp instead of rJava, which makes them much more reliable and portable....
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