R: Clinical Natural Language Processing using 'spaCy', 'scispaCy', and 'medspaCy'

# Clinical Natural Language Processing using 'spaCy', 'scispaCy', and 'medspaCy'

## Documentation for package ‘clinspacy’ version 1.0.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

bind_clinspacy | This function binds columns containing either the lemma of the entity or the UMLS concept unique identifier (CUI) with frequencies to a data frame. The resulting data frame can be used to train a machine learning model or for additional feature selection.
bind_clinspacy_embeddings | This function binds columns containing entity or concept embeddings to a data frame. The entity embeddings are derived from the scispacy package, and the concept embeddings are derived from the 'dataset_cui2vec_embeddings' dataset included with this package.
clinspacy | This is the primary function for processing both data frames and character vectors in the 'clinspacy' package.
clinspacy_init | Initializes clinspacy. This function is optional to run but gives you more control over the parameters used by scispacy at initiation. If you do not run this function, it will be run with default parameters the first time that any of the package functions are run.
dataset_cui2vec_definitions | Cui2vec concept definitions
dataset_cui2vec_embeddings | Cui2vec concept embeddings
dataset_mtsamples | Medical transcription samples.