qdapRegex (version 0.3.2)

rm_tag: Remove/Replace/Extract Person Tags

Description

Remove/replace/extract person tags from a string.

Usage

rm_tag(text.var, trim = !extract, clean = TRUE, pattern = "@rm_tag",
  replacement = "", extract = FALSE,
  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_tag uses the rm_tag regex from the regular expression dictionary

replacement

Replacement for matched pattern.

extract

logical. If TRUE the person tags 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 person tags removed.

Details

The default regex pattern "(? is more liberal and searches for the at (@) symbol followed by any word. This can be accessed via pattern = "@rm_tag". https://support.twitter.com/articles/101299-why-can-t-i-register-certain-usernames{Twitter} user names are more constrained. A second regex ("(?) is provide that contains the latter word to substring that begins with an at (@) followed by a word composed of alpha-numeric characters and underscores, no longer than 15 characters. This can be accessed via pattern = "@rm_tag2" (see Examples).

See Also

gsub, stri_extract_all_regex Other rm_.functions: rm_abbreviation; rm_angle, rm_bracket, rm_bracket_multiple, rm_curly, rm_round, rm_square; rm_between, rm_between_multiple; 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_emoticon; rm_endmark; rm_hash; rm_nchar_words; rm_non_ascii; rm_number; rm_percent; rm_phone; rm_postal_code; rm_repeated_characters; rm_repeated_phrases; rm_repeated_words; rm_time; rm_title_name; rm_twitter_url, rm_url; rm_white, rm_white_bracket, rm_white_colon, rm_white_comma, rm_white_endmark, rm_white_lead, rm_white_lead_trail, rm_white_multiple, rm_white_punctuation, rm_white_trail; rm_zip

Examples

x <- c("@hadley I like #rstats for #ggplot2 work.",
    "Difference between #magrittr and #pipeR, both implement pipeline operators for #rstats:
        http://renkun.me/r/2014/07/26/difference-between-magrittr-and-pipeR.html @timelyportfolio",
    "Slides from great talk: @ramnath_vaidya: Interactive slides from Interactive Visualization
        presentation #user2014. http://ramnathv.github.io/user2014-rcharts/#1",
    "[e-mail] is my email",
    "A non valid Twitter is @abcdefghijklmnopqrstuvwxyz"
)

rm_tag(x)
rm_tag(rm_hash(x))
rm_tag(x, extract=TRUE)

## more restrictive Twitter regex
rm_tag(x, extract=TRUE, pattern="@rm_tag2")

## Remove only the @ sign
rm_tag(x, replacement = "\\3")
rm_tag(x, replacement = "\\3", pattern="@rm_tag2")