extract_terms: Extract potential keywords from abstracts and titles

In elizagrames/litsearchr: Automated Search Term Selection and Search Strategy for Systematic Reviews

Description

Extracts potential keyword terms from text (e.g. titles and abstracts)

Usage

extract_terms(
  text = NULL,
  keywords = NULL,
  method = c("fakerake", "tagged"),
  min_freq = 2,
  ngrams = TRUE,
  min_n = 2,
  max_n = 5,
  stopwords = NULL,
  language = "English"
)

Arguments

text	A character object of text from which to extract terms
keywords	A character vector of keywords tagged by authors and/or databases if using method="tagged"
method	The method of extracting keywords; options are fakerake (a quick implementation similar to Rapid Automatic Keyword Extraction), or tagged for author-tagged keywords
min_freq	Numeric: the minimum occurrences of a potential term
ngrams	Logical: should litsearchr only extracts phrases with word count greater than a specified n?
min_n	Numeric: the minimum length ngram to consider
max_n	Numeric: the maximum length ngram to consider
stopwords	A character vector of stopwords.
language	A string indicating the language of input data to use for stopwords if none are supplied.

Value

Returns a character vector of potential keyword terms.

Examples

extract_terms(
  text = c(
    "Cross-scale occupancy dynamics of a postfire specialist
    in response to variation across a fire regime",
    "Variation in home-range size of Black-backed Woodpeckers",
    "Black-backed woodpecker occupancy in burned and beetle-killed forests"
  ),
  method = "fakerake",
  min_freq=1,
  min_n=2
)

elizagrames/litsearchr documentation built on April 14, 2021, 3:42 p.m.