rm_emoticon {qdapRegex}R Documentation

Remove/Replace/Extract Emoticons

Description

Remove/replace/extract common emoticons from a string.

Usage

rm_emoticon(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_emoticon",
  replacement = "",
  extract = FALSE,
  dictionary = getOption("regex.library"),
  ...
)

ex_emoticon(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_emoticon",
  replacement = "",
  extract = TRUE,
  dictionary = getOption("regex.library"),
  ...
)

Arguments

text.var

The text variable.

trim

logical. If TRUE removes leading and trailing white spaces.

clean

trim logical. If TRUE extra white spaces and escaped character will be removed.

pattern

A character string containing a regular expression (or character string for fixed = TRUE) to be matched in the given character vector. Default, @rm_emoticon uses the rm_emoticon regex from the regular expression dictionary from the dictionary argument.

replacement

Replacement for matched pattern.

extract

logical. If TRUE the emoticons are extracted into a list of vectors.

dictionary

A dictionary of canned regular expressions to search within if pattern begins with "@rm_".

...

Other arguments passed to gsub.

Value

Returns a character string with emoticons removed.

See Also

gsub, stri_extract_all_regex

Other rm_ functions: rm_abbreviation(), rm_between(), rm_bracket(), rm_caps_phrase(), rm_caps(), rm_citation_tex(), rm_citation(), rm_city_state_zip(), rm_city_state(), rm_date(), rm_default(), rm_dollar(), rm_email(), rm_endmark(), rm_hash(), rm_nchar_words(), rm_non_ascii(), rm_non_words(), rm_number(), rm_percent(), rm_phone(), rm_postal_code(), rm_repeated_characters(), rm_repeated_phrases(), rm_repeated_words(), rm_tag(), rm_time(), rm_title_name(), rm_url(), rm_white(), rm_zip()

Examples

x <- c("are :-)) it 8-D he XD on =-D they :D of :-) is :> for :o) that :-/",
  "as :-D I xD with :^) a =D to =) the 8D and :3 in =3 you 8) his B^D was")

rm_emoticon(x)
ex_emoticon(x)

[Package qdapRegex version 0.7.8 Index]