tm自定义removePunctuation(井号除外) [英] tm custom removePunctuation except hashtag

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本文介绍了tm自定义removePunctuation(井号除外)的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有来自Twitter的推文集.我清理了这个语料库(removeWords,tolower,删除URls),最后也想删除标点符号.

I have a Corpus of tweets from twitter. I clean this corpus (removeWords, tolower, delete URls) and finally also want to remove punctuation.

这是我的代码:

tweetCorpus <- tm_map(tweetCorpus, removePunctuation, preserve_intra_word_dashes = TRUE)

现在的问题是,通过这样做,我还松了了井号(#).有没有办法使用tm_map删除标点符号,但保留主题标签?

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?

推荐答案

您可以调整现有的removePunctuation来满足您的需求.例如

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)
    }
}

哪个会给你

removeMostPunctuation("hello #hastag @money yeah!! o.k.")
# [1] "hello #hastag money yeah ok"

,以及与tm_map一起使用时,但一定要将其包装在 content_transformer()

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)

这篇关于tm自定义removePunctuation(井号除外)的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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