A Tidy Data Model for Natural Language Processing

Documentation for package ‘cleanNLP’ version 0.24

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_annotators	Combine a set of annotations
dep_frequency	Universal Dependency Frequencies
doc_id_reset	Reset document ids
download_clean_nlp	Download java files needed for cleanNLP
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_sentiment	Access sentiment scores from an annotation object
get_token	Access tokens from an annotation object
get_triple	Access triples from an annotation object
init_clean_nlp	Initialize the cleanNLP java object
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
set_language	Easy interface for setting up the pipeline
set_properties	Set properties for the coreNLP pipeline
word_frequency	Most frequent English words
write_annotation	Write annotation files to disk