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如何处理/摆脱表情符号，以便对推文进行排序以进行情绪分析？

获取：sort.list（y）中的错误：输入无效

谢谢

这就是表情从 twitter 和 r 中出现的方式：

\xed��\xed�\u0083\xed��\xed��
\xed��\xed�\u008d\xed��\xed�\u0089
4

3 回答 3

22

这应该摆脱表情符号，使用iconvndoogan 的建议。

一些可重现的数据：

require(twitteR) 
# note that I had to register my twitter credentials first
# here's the method: http://stackoverflow.com/q/9916283/1036500
s <- searchTwitter('#emoticons', cainfo="cacert.pem") 

# convert to data frame
df <- do.call("rbind", lapply(s, as.data.frame))

# inspect, yes there are some odd characters in row five
head(df)

                                                                                                                                                text
1                                                                      ROFLOL: echte #emoticons [humor] http://t.co/0d6fA7RJsY via @tweetsmania  ;-)
2 “@teeLARGE: when tmobile get the iphone in 2 wks im killin everybody w/ emoticons &amp; \nall the other stuff i cant see on android!" \n#Emoticons
3                      E poi ricevi dei messaggi del genere da tua mamma xD #crazymum #iloveyou #emoticons #aiutooo #bestlike http://t.co/Yee1LB9ZQa
4                                                #emoticons I want to change my name to an #emoticon. Is it too soon? #prince http://t.co/AgmR5Lnhrk
5  I use emoticons too much. #addicted #admittingit #emoticons <ed><U+00A0><U+00BD><ed><U+00B8><U+00AC><ed><U+00A0><U+00BD><ed><U+00B8><U+0081> haha
6                                                                                         What you text What I see #Emoticons http://t.co/BKowBSLJ0s

这是删除表情符号的关键行：

# Clean text to remove odd characters
df$text <- sapply(df$text,function(row) iconv(row, "latin1", "ASCII", sub=""))

现在再次检查，看看奇数字符是否消失（见第 5 行）

head(df)    
                                                                                                                               text
1                                                                     ROFLOL: echte #emoticons [humor] http://t.co/0d6fA7RJsY via @tweetsmania  ;-)
2 @teeLARGE: when tmobile get the iphone in 2 wks im killin everybody w/ emoticons &amp; \nall the other stuff i cant see on android!" \n#Emoticons
3                     E poi ricevi dei messaggi del genere da tua mamma xD #crazymum #iloveyou #emoticons #aiutooo #bestlike http://t.co/Yee1LB9ZQa
4                                               #emoticons I want to change my name to an #emoticon. Is it too soon? #prince http://t.co/AgmR5Lnhrk
5                                                                                 I use emoticons too much. #addicted #admittingit #emoticons  haha
6                                                                                        What you text What I see #Emoticons http://t.co/BKowBSLJ0s
于 2013-04-02T00:29:44.163 回答
2

我推荐功能：
ji_replace_all <- function (string, replacement)

从包中：
install_github (" hadley / emo ").

我需要从西班牙语推文中删除表情符号。尝试了几个选项，但有些为我弄乱了文本。然而，这是一个完美的奇迹：

library(emo)

text="#VIDEO ,Alguien sabe si en Afganistán hay cigarro?"

ji_replace_all(text,"")

结果：

"#VIDEO ,Alguien sabe si en Afganistán hay cigarro?"

于 2021-08-27T08:57:21.420 回答
1

您可以使用正则表达式来检测非字母字符并将其删除。示例代码：

rmNonAlphabet <- function(str) {
  words <- unlist(strsplit(str, " "))
  in.alphabet <- grep(words, pattern = "[a-z|0-9]", ignore.case = T)
  nice.str <- paste(words[in.alphabet], collapse = " ")
  nice.str
}
于 2015-07-31T08:53:58.577 回答