如何使用OpenNLP在R中获取POS标签? [英] How to use OpenNLP to get POS tags in R?

问题描述

这是R代码:

library(NLP) 
library(openNLP)
tagPOS <-  function(x, ...) {
s <- as.String(x)
word_token_annotator <- Maxent_Word_Token_Annotator()
a2 <- Annotation(1L, "sentence", 1L, nchar(s))
a2 <- annotate(s, word_token_annotator, a2)
a3 <- annotate(s, Maxent_POS_Tag_Annotator(), a2)
a3w <- a3[a3$type == "word"]
POStags <- unlist(lapply(a3w$features, `[[`, "POS"))
POStagged <- paste(sprintf("%s/%s", s[a3w], POStags), collapse = " ")
list(POStagged = POStagged, POStags = POStags)}
str <- "this is a the first sentence."
tagged_str <-  tagPOS(str)

输出为:

tagged_str $ POS标签 [1]"this/DT是/VBZ a/DT the/DT first/JJ句子/NN ./."

tagged_str $POStagged [1]"this/DT is/VBZ a/DT the/DT first/JJ sentence/NN ./."

现在我只想从上面的句子中提取NN词，即句子，并将其存储到变量中.任何人都可以帮我解决这个问题.

Now I want to extract only NN word i.e sentence from the above sentence and want to store it into a variable .Can anyone help me out with this .

推荐答案

也许会有更优雅的方法来获得结果，但是这种方法应该可以工作:

There might be more elegant ways to obtain the result, but this one should work:

q <- strsplit(unlist(tagged_str[1]),'/NN')
q <- tail(strsplit(unlist(q[1])," ")[[1]],1)
#> q
#[1] "sentence"

希望这会有所帮助.

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