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

There's a function in {proustr} to normalize punctuation, called pr_normalize_punc() :

https://github.com/ColinFay/proustr#pr_normalize_punc

It turns :

 => ″‶«  »“”`´„“ into "
 => ՚ ’ into ' 
 => … into ...

For example :

library(proustr)
a <- data.frame(text = "Il l՚a dit : « La ponctuation est chelou » !")
pr_normalize_punc(a, text)
# A tibble: 1 x 1
                                            text
*                                          
1 "Il l'a dit : \"La ponctuation est chelou\" !"

For your text :

pr_normalize_punc(data.frame( text = "You don‘t get “your” money’s worth"), text)
# A tibble: 1 x 1
                                    text
*                                  
1 "You don‘t get \"your\" money's worth"