给出以下数据框:
df <- as.data.frame(c("Testing @cspenn @test @hi","this is a tweet","this is a tweet with @mention of @twitter"))
names(df)[1] <- "content"
我正在尝试提取每行的单个twitter句柄,而不是一次提取所有
。在this example中,我具有此功能,可以将它们全部吐出来,但是我需要它们保持包含在每一行中。
df$handles <- plyr::ddply(df, c("content"), function(x){
mention <- unlist(stringr::str_extract_all(x$content, "@\\w+"))
# some tweets do not contain mentions, making this necessary:
if (length(mention) > 0){
return(data.frame(mention = mention))
} else {
return(data.frame(mention = NA))
}
})
如何仅按行提取句柄,而不是一次提取所有句柄?
答案 0 :(得分:2)
您可以这样做。
xy <- stringr::str_extract_all(df$content, "@\\w+")
xy <- sapply(xy, FUN = paste, collapse = ", ") # have all names concatenated
cbind(df, xy)
content xy
1 Testing @cspenn @test @hi @cspenn, @test, @hi
2 this is a tweet
3 this is a tweet with @mention of @twitter @mention, @twitter
答案 1 :(得分:1)
Declare @data DocumentObjectType
Select top 1 @data = DocumentObject from DocumentObject
SELECT CAST(CONVERT(VARBINARY(MAX), @data,2) AS NVARCHAR(MAX));
输出:
library(tidyverse)
df %>%
mutate(mentions = str_extract_all(content, "@\\w+"))