process_document: Tokenize text using spaCy
In spacyr: Wrapper to the 'spaCy' 'NLP' Library

Description Usage Arguments Value Examples

Tokenize text using spaCy. The results of tokenization is stored as a Python object. To obtain the tokens results in R, use get_tokens(). http://spacy.io.

1	process_document(x, multithread, ...)

`x`	input text functionalities including the tagging, named entity recognition, dependency analysis. This slows down `spacy_parse()` but speeds up the later parsing. If FALSE, tagging, entity recognition, and dependency analysis when relevant functions are called.
`multithread`	logical;
`...`	arguments passed to specific methods

result marker object

spacy_initialize()
# the result has to be "tag() is ready to run" to run the following
txt <- c(text1 = "This is the first sentence.\nHere is the second sentence.", 
         text2 = "This is the second document.")
results <- spacy_parse(txt)