Text Mining R Package & Regex to handle Replace Smart Curly Quotes

Question

I\'ve got a bunch of texts like this below with different smart quotes - for single and double quotes. All I could end up with the packages I\'m aware of is to remove those

Answer 1

We can use gsub here for a base R option. Replace each curly quoted term at a time.

text <- "You don‘t get “your” money’s worth"
new_text <- gsub("“(.*?)”", "\"\\1\"", text)
new_text <- gsub("’", "'", new_text)
new_text
[1] "You don‘t get \"your\" money's worth"

I have assumed here that your curly quotes are always balanced, i.e. they always wrap a word. If not, then you might have to do more work.

Doing a blanket replacement of opening/closing double curly quotes may not play out as intended, if you want them to remain as is when not quoting a word.

Demo