如何处理/删除表情符号,以便我可以对推文进行情感分析?
获得: sort.list(y)出错: 输入无效
由于
这就是表情符号从推特到r:
的结果\xed��\xed�\u0083\xed��\xed��
\xed��\xed�\u008d\xed��\xed�\u0089
答案 0 :(得分:21)
这应该按照ndoogan的建议使用iconv
摆脱表情符号。
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 & \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
以下是删除表情符号的关键字:
# 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 & \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
答案 1 :(得分:0)
您可以使用正则表达式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
}