quanteda: kwic – R documentation

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kwic

Locate keywords-in-context

Description

For a text or a collection of texts (in a quanteda corpus object), return a list of a keyword supplied by the user in its immediate context, identifying the source text and the word index number within the source text. (Not the line number, since the text may or may not be segmented using end-of-line delimiters.)

Usage

kwic(
  x,
  pattern,
  window = 5,
  valuetype = c("glob", "regex", "fixed"),
  separator = " ",
  case_insensitive = TRUE,
  index = NULL,
  ...
)

is.kwic(x)

## S3 method for class 'kwic'
as.data.frame(x, ...)

Arguments

`x`	a character, corpus, or tokens object
`pattern`	a character vector, list of character vectors, dictionary, or collocations object. See pattern for details.
`window`	the number of context words to be displayed around the keyword
`valuetype`	the type of pattern matching: `"glob"` for "glob"-style wildcard expressions; `"regex"` for regular expressions; or `"fixed"` for exact matching. See valuetype for details.
`separator`	a character to separate words in the output
`case_insensitive`	logical; if `TRUE`, ignore case when matching a `pattern` or dictionary values
`index`	an index object to specify keywords
`...`	unused

Value

A kwic classed data.frame, with the document name (docname) and the token index positions (from and to, which will be the same for single-word patterns, or a sequence equal in length to the number of elements for multi-word phrases).

Note

pattern will be a keyword pattern or phrase, possibly multiple patterns, that may include punctuation. If a pattern contains whitespace, it is best to wrap it in phrase() to make this explicit. However if pattern is a collocations or dictionary object, then the collocations or multi-word dictionary keys will automatically be considered phrases where each whitespace-separated element matches a token in sequence.

Examples

# single token matching
toks <- tokens(data_corpus_inaugural[1:8])
kwic(toks, pattern = "secure*", valuetype = "glob", window = 3)
kwic(toks, pattern = "secur", valuetype = "regex", window = 3)
kwic(toks, pattern = "security", valuetype = "fixed", window = 3)

# phrase matching
kwic(toks, pattern = phrase("secur* against"), window = 2)
kwic(toks, pattern = phrase("war against"), valuetype = "regex", window = 2)

# use index
idx <- index(toks, phrase("secur* against"))
kwic(toks, index = idx, window = 2)
kw <- kwic(tokens(data_corpus_inaugural[1:20]), "provident*")
is.kwic(kw)
is.kwic("Not a kwic")
is.kwic(kw[, c("pre", "post")])

toks <- tokens(data_corpus_inaugural[1:8])
kw <- kwic(toks, pattern = "secure*", valuetype = "glob", window = 3)
as.data.frame(kw)

quanteda

Quantitative Analysis of Textual Data

v3.0.0

GPL-3

Authors

Kenneth Benoit [cre, aut, cph] (<https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>), Paul Nulty [aut] (<https://orcid.org/0000-0002-7214-4666>), Adam Obeng [aut] (<https://orcid.org/0000-0002-2906-4775>), Stefan Müller [aut] (<https://orcid.org/0000-0002-6315-4125>), Akitaka Matsuo [aut] (<https://orcid.org/0000-0002-3323-6330>), William Lowe [aut] (<https://orcid.org/0000-0002-1549-6163>), Christian Müller [ctb], European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)

Initial release