Produces a viewable data frame with posts matching a regular expression and Useful for investigating suspected spam posts, or other patterns of interest. Set the name of the title to avoid new frames overwriting old ones.
Usage
limpiar_inspect(
data,
pattern,
text_var = mention_content,
url_var = mention_url,
title = "inspect",
open_view = TRUE,
ignore_case = TRUE
)Arguments
- data
Name of your Data Frame or Tibble object
- pattern
Pattern you wish to inspect e.g. "link bio"
- text_var
Name of your text variable. Can be given as a 'string' or a symbol - should refer to a column inside
data- url_var
Name of the data frame's URL-column
- title
Name of the viewable pane
- open_view
For testing purposes, default is set to TRUE
- ignore_case
Whether the pattern should ignore the upper case/lower case distinction
Details
add boundary tags e.g. \\b to either side of your pattern if you wish to only match words rather than parts of words. For example, pattern="cats" will match '#cats', but also 'catch up'. If we add a word boundary: pattern = \\bcats\\b we won't match either '#cats' or 'catch up'.
Examples
df <- data.frame(
text_variable = rbind("check me out", "don't look at me"),
text_url = rbind("www.twitter.com", "www.facebook.com"))
limpiar_inspect(df, "check", text_var = text_variable, url_var = text_url)