A Tidy Data Model for Natural Language Processing

Documentation for package ‘cleanNLP’ version 1.5.2

cleanNLP-package	cleanNLP: A Tidy Data Model for Natural Language Processing
annotate	Run the annotation pipeline on a set of documents
cleanNLP	cleanNLP: A Tidy Data Model for Natural Language Processing
combine_documents	Combine a set of annotations
dep_frequency	Universal Dependency Frequencies
doc_id_reset	Reset document ids
download_core_nlp	Download java files needed for CoreNLP
extract_documents	Extract documents from an annotation object
from_CoNLLU	Reads a CoNLL-U or CoNLL-X File
get_coreference	Access coreferences from an annotation object
get_dependency	Access dependencies from an annotation object
get_document	Access document meta data from an annotation object
get_entity	Access named entities from an annotation object
get_sentence	Access sentence-level annotations
get_tfidf	Construct the TF-IDF Matrix from Annotation or Data Frame
get_token	Access tokens from an annotation object
get_vector	Access word embedding vector from an annotation object
init_coreNLP	Interface for initializingthe coreNLP backend
init_spaCy	Interface for initializing up the spaCy backend
init_tokenizers	Interface for initializing the tokenizers backend
obama	Annotation of Barack Obama's State of the Union Addresses
pos_frequency	Universal Part of Speech Code Frequencies
print.annotation	Print a summary of an annotation object
read_annotation	Read annotation files from disk
tidy_pca	Compute Principal Components and store as a Data Frame
word_frequency	Most frequent English words
write_annotation	Write annotation files to disk