spacy_extract_nounphrases: Extract noun phrases from texts using spaCy

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

Extract noun phrases from texts using spaCy

Description

This function extracts noun phrases from documents, based on the noun_chunks attributes of documents objects parsed by spaCy (see https://spacy.io/usage/linguistic-features#noun-chunks).

Usage

spacy_extract_nounphrases(
  x,
  output = c("data.frame", "list"),
  multithread = TRUE,
  ...
)

Arguments

x	a character object or a TIF-compliant corpus data.frame (see https://github.com/ropenscilabs/tif)
output	type of returned object, either "data.frame" or "list"
multithread	logical; If TRUE, the processing is parallelized using spaCy's architecture (https://spacy.io/api)
...	unused

Details

When the option output = "data.frame" is selected, the function returns a data.frame with the following fields.

text

contents of noun-phrase

root_text

contents of root token

start_id

serial number ID of starting token. This number corresponds with the number of data.frame returned from spacy_tokenize(x) with default options.

root_id

serial number ID of root token

length

number of words (tokens) included in a noun-phrase (e.g. for a noun-phrase, "individual car owners", length = 3)

Value

either a list or data.frame of tokens

Examples

## Not run: 
spacy_initialize()

txt <- c(doc1 = "Natural language processing is a branch of computer science.",
         doc2 = "Paul earned a postgraduate degree from MIT.")
spacy_extract_nounphrases(txt)
spacy_extract_nounphrases(txt, output = "list")

## End(Not run)

quanteda/spacyr documentation built on Feb. 5, 2025, 12:59 p.m.