types.tokens-methods: Get types and tokens of a given text

In unDocUMeantIt/koRpus: Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity

Description

These methods return character vectors that return all types or tokens of a given text, where text can either be a character vector itself, a previosly tokenized/tagged koRpus object, or an object of class kRp.TTR.

Usage

types(txt, ...)

tokens(txt, ...)

## S4 method for signature 'kRp.TTR'
types(txt, stats = FALSE)

## S4 method for signature 'kRp.TTR'
tokens(txt)

## S4 method for signature 'kRp.text'
types(
  txt,
  case.sens = FALSE,
  lemmatize = FALSE,
  corp.rm.class = "nonpunct",
  corp.rm.tag = c(),
  stats = FALSE
)

## S4 method for signature 'kRp.text'
tokens(
  txt,
  case.sens = FALSE,
  lemmatize = FALSE,
  corp.rm.class = "nonpunct",
  corp.rm.tag = c()
)

## S4 method for signature 'character'
types(
  txt,
  case.sens = FALSE,
  lemmatize = FALSE,
  corp.rm.class = "nonpunct",
  corp.rm.tag = c(),
  stats = FALSE,
  lang = NULL
)

## S4 method for signature 'character'
tokens(
  txt,
  case.sens = FALSE,
  lemmatize = FALSE,
  corp.rm.class = "nonpunct",
  corp.rm.tag = c(),
  lang = NULL
)

Arguments

txt	An object of either class kRp.text or kRp.TTR, or a character vector.
...	Only used for the method generic.
stats	Logical, whether statistics on the length in characters and frequency of types in the text should also be returned.
case.sens	Logical, whether types should be counted case sensitive. This option is available for tagged text and character input only.
lemmatize	Logical, whether analysis should be carried out on the lemmatized tokens rather than all running word forms. This option is available for tagged text and character input only.
corp.rm.class	A character vector with word classes which should be dropped. The default value "nonpunct" has special meaning and will cause the result of kRp.POS.tags(lang, tags=c("punct","sentc"), list.classes=TRUE) to be used. This option is available for tagged text and character input only.
corp.rm.tag	A character vector with POS tags which should be dropped. This option is available for tagged text and character input only.
lang	Set the language of a text, see the force.lang option of lex.div. This option is available for character input only.

Value

A character vector. Fortypes and stats=TRUE a data.frame containing all types, their length (characters) and frequency. The types result is always sorted by frequency, with more frequent types coming first.

Note

If the input is of class kRp.TTR, the result will only be useful if lex.div or the respective wrapper function was called with keep.tokens=TRUE. Similarily, lemmatize can only work properly if the input is a tagged text object with lemmata or you've properly set up the enviroment via set.kRp.env. Calling these methods on kRp.TTR objects is just returning the respective part of its tt slot.

See Also

kRp.POS.tags, kRp.text, kRp.TTR, lex.div

Examples

# code is only run when the english language package can be loaded
if(require("koRpus.lang.en", quietly = TRUE)){
  sample_file <- file.path(
    path.package("koRpus"), "examples", "corpus", "Reality_Winner.txt"
  )
  tokenized.obj <- tokenize(
    txt=sample_file,
    lang="en"
  )

  types(tokenized.obj)
  tokens(tokenized.obj)
} else {}

unDocUMeantIt/koRpus documentation built on May 21, 2021, 9:26 p.m.