An R wrapper to the spaCy “industrial strength natural language processing”" Python library from https://spacy.io.
The easiest way to install spaCy and spacyr is through the spacyr function
spacy_install(). This function by default creates a new conda environment called
spacy_condaenv, as long as some version of conda is installed on the user’s the system. You can install miniconda from https://conda.io/miniconda.html. (Choose the 64-bit version, or alternatively, run to the computer store now and purchase a 64-bit system to replace your ancient 32-bit platform.)
If you already have any version of conda, you can skip this step. You can check it by entering
conda --version in the Terminal.
For a Windows-based system, Visual C++ Build Tools or Visual Studio Express must be installed to compile spaCy for pip installation. The version of Visual Studio required for the installation of spaCy is found here and the default python version used in our installation method is 3.6.x.
Install the spacyr R package:
To install the latest package from source, you can simply run the following.
Install spaCy in a conda environment
For Windows, you need to run R as an administrator to make installation work properly. To do so, right click the RStudio icon (or R desktop icon) and select “Run as administrator” when launching R.
To install spaCy, you can simply run
This will create a stand-alone conda environment including a python executable separate from your system Python (or anaconda python), install the latest version of spaCy (and its required packages), and download English language model. After installation, you can initialize spaCy in R with
This will return the following message if spaCy was installed with this method.
(optional) Add more language models
For spaCy installed by
spacy_install(), spacyr provides a useful helper function to install additional language models. For instance, to install German language model
(Again, Windows users have to run this command as an administrator. Otherwise, he symlink (alias) to the language model will fail.)
If you are using the same setting for spaCy (e.g. condaenv or python path) every time and want to reduce the time for initialization, you can fixate the setting by specifying it in an R-startup file (For Mac/Linux, the file is
~/.Rprofile), which is read every time a new
R is launched. You can set the option permanently when you call
Once this is appropriately set up, the message from
spacy_initialize() changes to something like:
To ignore the permanently set options, you can initialize spacy with
refresh_settings = TRUE.