nounphrase_extract: Extract or consolidate noun phrases from parsed documents

In spacyr: Wrapper to the 'spaCy' 'NLP' Library

Description

From an object parsed by spacy_parse, extract the multi-word noun phrases as a separate object, or convert the multi-word noun phrases into single "token" consisting of the concatenated elements of the multi-word noun phrases.

Usage

nounphrase_extract(x, concatenator = "_")

nounphrase_consolidate(x, concatenator = "_")

Arguments

x	output from spacy_parse
concatenator	the character(s) used to join elements of multi-word noun phrases

Value

noun returns a data.frame of all named entities, containing the following fields:

• doc_id name of the document containing the noun phrase

• sentence_id the sentence ID containing the noun phrase, within the document

• nounphrasethe noun phrase

• root the root token of the noun phrase

nounphrase_consolidate returns a modified data.frame of parsed results, where the noun phrases have been combined into a single "token". Currently, dependency parsing is removed when this consolidation occurs.

Examples

spacy_initialize()

# entity extraction
txt <- "Mr. Smith of moved to San Francisco in December."
parsed <- spacy_parse(txt, nounphrase = TRUE)
entity_extract(parsed)


# consolidating multi-word noun phrases
txt <- "The House of Representatives voted to suspend aid to South Dakota."
parsed <- spacy_parse(txt, nounphrase = TRUE)
nounphrase_consolidate(parsed)

spacyr documentation built on March 26, 2020, 5:25 p.m.