问题
I have a Corpus of tweets from twitter. I clean this corpus (removeWords, tolower, delete URls) and finally also want to remove punctuation.
Here is my code:
tweetCorpus <- tm_map(tweetCorpus, removePunctuation, preserve_intra_word_dashes = TRUE)
The problem now is, that by doing so I also loose the hashtag (#). Is there a way to remove punctuation with tm_map but remain the hashtag?
回答1:
You could adapt the existing removePunctuation to suit your needs. For example
removeMostPunctuation<-
function (x, preserve_intra_word_dashes = FALSE)
{
rmpunct <- function(x) {
x <- gsub("#", "\002", x)
x <- gsub("[[:punct:]]+", "", x)
gsub("\002", "#", x, fixed = TRUE)
}
if (preserve_intra_word_dashes) {
x <- gsub("(\\w)-(\\w)", "\\1\001\\2", x)
x <- rmpunct(x)
gsub("\001", "-", x, fixed = TRUE)
} else {
rmpunct(x)
}
}
Which will give you
removeMostPunctuation("hello #hastag @money yeah!! o.k.")
# [1] "hello #hastag money yeah ok"
and when you use it with tm_map, but sure to wrap it in content_transformer()
tweetCorpus <- tm_map(tweetCorpus, content_transformer(removeMostPunctuation),
preserve_intra_word_dashes = TRUE)
回答2:
The qdap package that I maintain has the strip
function to handle this where you can specify characters not to strip:
library(qdap)
strip("hello #hastag @money yeah!! o.k.", char.keep="#")
Here it is applied to a Corpus
:
library(tm)
tweetCorpus <- Corpus(VectorSource("hello #hastag @money yeah!! o.k."))
tm_map(tweetCorpus, content_transformer(strip), char.keep="#")
Also qdap has the sub_holder
function that does essentially what Mr. Flick's removeMostPunctuation
function does if that's useful
removeMostPunctuation <- function(text, keep = "#") {
m <- sub_holder(keep, text)
m$unhold(strip(m$output))
}
removeMostPunctuation("hello #hastag @money yeah!! o.k.")
## "hello #hastag money yeah ok"
来源:https://stackoverflow.com/questions/27951377/tm-custom-removepunctuation-except-hashtag