假设我有这样的文本:
pattern = "This_is some word/expression I'd like to parse:intelligently(using special symbols-like '.')"
挑战在于如何使用中的单词分隔符将其拆分为单词
c(" ","-","/","\","_",":","(",")",".",",")
家庭。
所需结果:
"This" "is" "some" "word" "expression" "I'd" "like" "to" "parse" "intelligently" "using" "special" "symbols" "like"
方法:
我可以使用进行sapply
或for
循环
keywords = unlist(strsplit(pattern," "))
keywords = unlist(strsplit(keywords,"-"))
#等
问题:
但是使用Reduce(f, x, init, accummulate=TRUE)
的解决方案是什么?
此处不需要Reduce
。你应该能够做以下事情:
splitters <- c(" ","/","\","_",":","(",")",".",",","-") # dash should come last
pattern <- paste0("[", paste(splitters, collapse = ""), "]")
string <- "This_is some word/expression I'd like to parse:intelligently(using special symbols-like '.')"
strsplit(string, pattern)[[1]]
# [1] "This" "is" "some" "word"
# [5] "expression" "I'd" "like" "to"
# [9] "parse" "intelligently" "using" "special"
# [13] "symbols" "like" "'" "'"
请注意,regex字符类中的-
应该排在第一位或最后一位,因此我相应地编辑了您的"splitters"向量。此外,您可能希望在"模式"的末尾添加一个+
,以防您想将多个空格折叠为一个空格。
您可以使用选项perl = TRUE
,然后在标点符号或空格上进行拆分
> strsplit(pattern, '[[:punct:]]|[[:space:]]', perl = TRUE)
[[1]]
[1] "This" "is" "some" "word" "expression"
[6] "I" "d" "like" "to" "parse"
[11] "intelligently" "using" "special" "symbols" "like"
[16] ""
我会选择(它将保持"I'd"
在一起)
strsplit(pattern, "[^[:alnum:][:digit:]']")
## [[1]]
## [1] "This" "is" "some" "word" "expression" "I'd" "like" "to" "parse"
## [10] "intelligently" "using" "special" "symbols" "like" "'" "'"