spacy_install()
and spacy_uninstall()
functions to provide a more modern and robust installation procedure.pip
in spacy_install()
and spacy_upgrade()
.spacy_parse()
and spacy_tokenize()
are now coerced to character
, which allows them to work directly with quanteda v2 corpus objects (which are based on the character
class but with special attributed), without special methods.spacy_parse(x, nounphrase = TRUE)
that occurred when no noun phrases were found in the text. (#153)spacy_initialize()
(#157). spacy_initialize()
ignored Python options supplied by users when a conda environment created through spacy_install()
exists.spacy_tokenize()
, spacy_extract_entity()
, spacy_extract_nounphrases()
, nounphrase_extract()
, and nounphrase_consolidate()
for direct extraction of entities, noun phrases, and tokens, and extraction of noun phrases from spacyr parsed tests.additional_attributes
to spacy_parse()
allowing the return of any tokens-level attribute available from https://spacy.io/api/token#attributes.spacy_install()
, spacy_install_virtualenv()
, and spacy_upgrade()
to make installing or upgrading spaCy (and Python itself) easy and automatic.spacy_parse()
via the multithreading
argument. This uses the "pipes" functionality in spaCy for improved performance..Rprofile
spacy_initialize(entity = FALSE)
(#91).bash_profile
.ask = FALSE
to spacy_initialize()
, to find spaCy installations automatically.spacy_parse()
, by changing 1:length()
to seq_along()
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